Archive / 2026-08-25
August 25, 2026
News
View all news →Apple introduces M6 and M5 Ultra
apple.com23 days ago1114 ptsView detailsJoin discussion
fzakaria.com23 days ago320 ptsView detailsJoin discussion
Black hole singularity is a surface not a point
arxiv.org23 days ago294 ptsView detailsJoin discussion
blog.coredump.cx23 days ago263 ptsView detailsJoin discussion
Show HN: I made a Raspberry with Qwen my local car AI
github.com23 days ago146 ptsView detailsJoin discussion
AI is hitting entry-level jobs hardest, Stanford study finds
arstechnica.com23 days ago140 ptsView detailsJoin discussion
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
arXiv:2608.23691v1 Announce Type: new Abstract: We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents from different model families pursue a shared research goal without a central coordinator or scripted pipeline. Agents choose their own research directions…
arxiv.org23 days ago122 ptsView detailsJoin discussion
Show HN: TeXbrain, a LaTeX editor that runs pdfTeX in the browser via WASM
github.com23 days ago118 ptsView detailsJoin discussion
OpenAI restores 5-hour Codex and Work limits for ChatGPT Plus users
9to5mac.com23 days ago120 ptsView detailsJoin discussion
France's tax agency got hacked (in French)
cybernetica.fr23 days ago116 ptsView detailsJoin discussion
Agentic Context Management: Memory and Cost as Architecture Problems
arxiv.org23 days ago79 ptsView detailsJoin discussion
A brief history of federal lift ticket regulation
zakpodmore.substack.com23 days ago68 ptsView detailsJoin discussion
Screen viewing time from age 1 to 8 years and subsequent academic performance
link.springer.com24 days ago60 ptsView detailsJoin discussion
A new ceiling for Λ: the de Bruijn–Newman constant
judegomila.com23 days ago54 ptsView detailsJoin discussion
Pgbot: A 5.9 MB read-only Postgres tool for humans and agents
pgbot.dev23 days ago48 ptsView detailsJoin discussion
Trial is 40 days. Not until you're 40
twitter.com23 days ago48 ptsView detailsJoin discussion
Analyzing student votes across AI models for college essay help
studyarena.com23 days ago43 ptsView detailsJoin discussion
Japan enlists 1,800 people to drag 360-tonne castle keep using ropes and rollers
theguardian.com24 days ago44 ptsView detailsJoin discussion
OpenAI's Head of Data Centers Has Left the Company
wsj.com23 days ago41 ptsView detailsJoin discussion
Anthropic Sees over $30T in Potential Revenue
wsj.com23 days ago39 ptsView detailsJoin discussion
'Never seen this level of objection': Scotland pushes back against datacentres
theguardian.com24 days ago38 ptsView detailsJoin discussion
Ripping Off the Hey.com Band-Aid
kylemcgough.com23 days ago36 ptsView detailsJoin discussion
Behaviorally fingerprinting Ox Alpha's provenance
ctgt.ai23 days ago36 ptsView detailsJoin discussion
Show HN: I built self-hosted deployment automation tool for Windows and IIS
fdeploy.com24 days ago34 ptsView detailsJoin discussion
Big Tech's Frantic Race to Quell the Growing Backlash to AI
wsj.com23 days ago26 ptsView detailsJoin discussion
The state of AI in 2026: On the road to ROI
mckinsey.com23 days ago27 ptsView detailsJoin discussion
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Jalapeño’s first results show industry-leading speed and efficiency in AI inference
Jalapeño is a custom inference chip from OpenAI that delivers faster, more power-efficient AI inference, with higher throughput and lower latency for modern models.
openai.com24 days ago21 ptsView details
Run Minecraft in a Windows sandbox for computer use agents
cua.ai23 days ago23 ptsView detailsJoin discussion
perplexity.ai23 days ago20 ptsView detailsJoin discussion
I built a forgetting curve for an agent with one user
eris-system.dev23 days ago16 ptsView detailsJoin discussion
Hot Chips 2026: Intel's Diamond Rapids
chipsandcheese.com24 days ago16 ptsView detailsJoin discussion
The New York Times is publishing AI slop
unpublishablepapers.substack.com23 days ago15 ptsView detailsJoin discussion
Show HN: Coffeetable, A new UX to discover books inside Claude
claude.ai23 days ago15 ptsView detailsJoin discussion
Show HN: Keenable – A different web search API for AI agents
keenable.ai23 days ago12 ptsView detailsJoin discussion
Screen time at ages 1 and 6 may matter more than parents realize
sciencedaily.com24 days ago12 ptsView detailsJoin discussion
Ox Alpha – A mysterious new AI model
oxalpha.com24 days ago11 ptsView detailsJoin discussion
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The Hugging Face incident and the road ahead
OpenAI shares findings from the Hugging Face security incident and the steps we’re taking to strengthen AI model security, monitoring, and alignment.
openai.com23 days agoView details
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How loveholidays is making everyone a builder with Codex
Discover how loveholidays uses OpenAI Codex to make software development accessible across the business, helping teams turn ideas into products faster.
openai.com23 days agoView details
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The full stack behind abundant intelligence
OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.
openai.com24 days agoView details
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Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
huggingface.co23 days agoView details
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AgentHands: Generating interactive hand gestures for spatially grounded agent conversations in XR
Human-Computer Interaction and Visualization
research.google23 days agoView details
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Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original
huggingface.co23 days agoView details
Model cards report quality under server-class, full-precision conditions. Those numbers rarely predict how the same model behaves on a phone. This week, Liquid AI released Pipette. It is an open-source platform for benchmarking foundation models on edge devices, built in partnership with Artificial Analysis as an inde…
marktechpost.com23 days agoView details
Perplexity releases Portable Computer, packaging local models, harness, sandbox, and connectors into one system running on NVIDIA DGX Spark. The post Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps appeared first on MarkTechPost.
marktechpost.com23 days agoView details
Meta AI Introduces MetaRoCE: A Clean-Sheet RDMA Transport Built for AI-Scale Ethernet
Training and serving frontier models is now a networking problem as much as a compute problem. Collective operations like all-reduce and all-to-all synchronize thousands of accelerators during training, and the slowest transfer sets the pace for the entire job. Even small amounts of network friction directly strand si…
marktechpost.com23 days agoView details
OpenAI says its Jalapeño chip can power faster AI responses than the competition
OpenAI says its new AI chip, Jalapeño, completes tasks more efficiently and returns responses faster than other AI systems, according to a blog post published on Tuesday. During a briefing with reporters, OpenAI hardware vice president Richard Ho said Jalapeño offers the "best of both worlds" with lower latency and hi…
theverge.com23 days agoView details
It Should Be Harder to Apply for a Job. No, Really
Thanks to a dwindling supply of open roles, “one-click” applications, and the rise of artificial intelligence, it’s easier than ever to apply for a job. We’re all paying the price.
wired.com24 days agoView details
OpenAI subpoenaed by Alabama AG over Hugging Face hack
Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and autonomously hacked another company last month. The investigation seeks to determine whether OpenAI's safety practices violated state consumer p…
theverge.com24 days agoView details
Spirit Airlines Wants to Sell Its Data to Google. Former Flight Attendants Are Freaked Out
“It never crossed my mind that they would be so bold as to sell our private data for AI,” says one former Spirit Airlines flight attendant.
wired.com24 days agoView details
arXiv:2608.23626v1 Announce Type: new Abstract: Foundation models for astronomy are trained on survey pixels together with the catalogue products derived from those pixels. Those catalogues are incomplete at a measurable rate, and a model trained on both inherits that incompleteness as a systematic. We audit AION-1, a…
arxiv.org23 days agoView details
arXiv:2608.23643v1 Announce Type: new Abstract: Artificial intelligence is increasingly being introduced into healthcare workflows, yet most evaluations emphasize model accuracy rather than whether adoption is economically worthwhile in real clinical settings. This study proposes FLARE, a systematic and uncertainty-aw…
arxiv.org23 days agoView details
RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
arXiv:2608.23568v1 Announce Type: new Abstract: Memory and RAG evaluations often treat the answering model's input as an implementation detail, even though systems may render the same history as a memory entry, summary, typed record, or raw excerpt. We introduce RENDER, a benchmark control that fixes the conversation…
arxiv.org23 days agoView details
SkillForge: Evolving Verifiable Skills for Reinforcement Learning Agents
arXiv:2608.24747v1 Announce Type: new Abstract: Large language model (LLM) agents are trained with reinforcement learning (RL) for complex decision-making tasks. However, most RL-trained agents remain episodic and cannot accumulate reusable knowledge across episodes. Recent skill-based approaches, such as SkillRL, att…
arxiv.org23 days agoView details
arXiv:2608.23908v1 Announce Type: new Abstract: Tax-loss harvesting demonstrates consistent benefits to long-term portfolio growth; yet implementing it efficiently often involves complex considerations that are specific to the holdings within that portfolio and the individual who owns it. We introduce a custom capital…
arxiv.org23 days agoView details
MARS: Multi-Specialist LLM Relay System for Competitive Programming
arXiv:2608.23918v1 Announce Type: new Abstract: Large Language Models excel at code generation, yet competitive programming exposes a persistent failure mode: existing multi-agent pipelines distribute work over generic planner, coder, and debugger roles and delegate the choice of algorithmic technique to the backbone…
arxiv.org23 days agoView details
More Rejective, Not More Discriminative: The Unit of Verification in Pre-Execution LLM Oversight
arXiv:2608.23941v1 Announce Type: new Abstract: Pre-execution oversight is core to trusted monitoring in AI control: a fallible LLM monitor vets planned actions before irreversible execution. Over-blocking forfeits usefulness and pressures deployers to disable it. Every protocol must fix a unit of verification: how ma…
arxiv.org23 days agoView details
Robust Code RL via Faulty-Code-Driven Test case Synthesis and Dense Reward Shaping
arXiv:2608.24135v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards (RLVR) has emerged as a pivotal technique for enhancing the code generation capabilities of Large Language Models (LLMs). However, the efficacy of RLVR in coding implementations is fundamentally limited by the comprehensiven…
arxiv.org23 days agoView details
Exploit More, Explore Smarter for Budget-Constrained Agentic Search
arXiv:2608.23848v1 Announce Type: new Abstract: Budget-constrained agentic search arises when an LLM agent must refine candidates under a small evaluation budget, because validation is expensive, generation requires multiple model calls, or both. In this regime, standard MCTS allocates budget poorly: exploration bonus…
arxiv.org23 days agoView details
SyPS: Measuring Sycophancy Prompt Sensitivity in Large Language Models
arXiv:2608.23837v1 Announce Type: new Abstract: Large language models (LLMs) are known to exhibit social sycophancy, often validating or agreeing with users in socially sensitive contexts. Existing evaluations typically measure sycophancy under a fixed prompt formulation, leaving unclear whether such behavior is stabl…
arxiv.org23 days agoView details
arXiv:2608.23956v1 Announce Type: new Abstract: Test-time reasoning methods such as iterative refinement, decomposition, and repeated sampling are often evaluated in isolation, making their gains difficult to compare across models, benchmarks, and evaluation pipelines. We introduce a unified view of these methods as r…
arxiv.org23 days agoView details
arXiv:2608.23640v1 Announce Type: new Abstract: When a large language model (LLM) is asked to write a person's life, how much of what it writes actually happened? We present a scene-level case-study audit - the first quantified audit of LLM-generated autobiography against a subject-specific ground-truth corpus that we…
arxiv.org23 days agoView details
TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
arXiv:2608.23631v1 Announce Type: new Abstract: Multi-objective materials discovery with LLM agents is often limited not only by how many candidates can be proposed, but by how effectively each costly property evaluation informs the next search step. Existing agents mainly store evaluated candidates and their scores,…
arxiv.org23 days agoView details
Incorporating Cognitive Load and Knowledge Transfer for Multi-Domain Knowledge Tracing
arXiv:2608.24005v1 Announce Type: new Abstract: Knowledge Tracing (KT) aims to assess students' dynamic knowledge states from their learning histories. While most existing KT methods focus on single-domain learning with notable success, real-world learning scenarios often involve multiple domains simultaneously, intro…
arxiv.org23 days agoView details
Words, Spaces and Generative AI: Layers of language in contemporary architecture
arXiv:2608.24360v1 Announce Type: new Abstract: Language can be considered a design material in architecture, and in the context of text-to-X generative AI models becoming a common tool for architectural practice, looking more closely at language is more important now than in the past. After describing some of the imp…
arxiv.org23 days agoView details
Do LLMs Understand Limit Order Book Dynamics?
arXiv:2608.23706v1 Announce Type: new Abstract: A large language model (LLM) trained on synthetic limit order book (LOB) data achieves near perfect scores in generating valid sequences of LOB events. However, the LLM's implicit world model fails to learn the state of the LOB. This deficiency leads to biased estimates…
arxiv.org23 days agoView details
When Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMs
arXiv:2608.23978v1 Announce Type: new Abstract: Visual grounding is typically evaluated as a one-shot mapping from an informative referring expression to a visual target. This formulation misses a central property of real-world reference: target information is often incomplete, ambiguous, and established through inter…
arxiv.org23 days agoView details
arXiv:2608.23644v1 Announce Type: new Abstract: Large language models (LLMs) are becoming routine instruments of scientific research, assisting with literature synthesis, hypothesis development, coding, and formal reasoning. Their use raises a central epistemic question: when parts of scientific reasoning are delegate…
arxiv.org23 days agoView details
AgentSpec: Speculative Decoding for Batch Inference of LLM Agents
arXiv:2608.24004v1 Announce Type: new Abstract: Large language model (LLM)-based agent applications often incur high response time. Speculative decoding is a promising solution to improve the inference efficiency of LLM agents without impacting generation quality. However, state-of-the-art speculative decoding algorit…
arxiv.org23 days agoView details
arXiv:2608.23569v1 Announce Type: new Abstract: State-of-the-art Natural Language to SQL (NL2SQL) models report execution accuracy exceeding 89 percent on established benchmarks such as Spider and BIRD. However, these benchmarks rely on simplified academic schemas and open-source SQL dialects that do not reflect the c…
arxiv.org23 days agoView details
BenchBench-Protocol: Evaluating Real-World Wet-Lab Protocol Reasoning and Modification
arXiv:2608.23898v1 Announce Type: new Abstract: We introduce BenchBench-Protocol, a benchmark for large language models of 149 protocol-modification tasks recovered from modifications that scientists made to published protocols during real experimental work. Adapting a published protocol to a new experiment is a routi…
arxiv.org23 days agoView details
Generating Biomedical Fact-Checking Reports with RL-Enhanced Agentic Search
arXiv:2608.23811v1 Announce Type: new Abstract: Automated fact-checking is essential for ensuring the reliability of public health information, yet the biomedical domain poses unique challenges. Validating biomedical claims requires rigorous interpretation of scientific literature, assessment of retrieved evidence, an…
arxiv.org23 days agoView details
arXiv:2608.24654v1 Announce Type: new Abstract: Conversational AI systems (CAISes) continuously change through model releases, feature updates, safety interventions, and access-policy shifts, yet user perceptions are often studied as static snapshots. We conduct a long-term, large-scale analysis of Reddit discussions…
arxiv.org23 days agoView details
AI Agents Push Humans Out of the Loop
arXiv:2608.23642v1 Announce Type: new Abstract: AI agents pose significant risks as they are granted increasing autonomy. A commonly proposed solution is human oversight and keeping a ''human in the loop'', but this is not a simple solution: Not only do current approaches to AI agent design impede effective human over…
arxiv.org23 days agoView details
In-Context Inpainting for Time Series Forecasting
arXiv:2608.23855v1 Announce Type: new Abstract: We propose ICI-Time, a novel framework that reframes time series forecasting as a visual inpainting task, leveraging the generalisation power of large vision models (LVMs). Unlike methods that require specialised temporal architectures and extensive domain-specific train…
arxiv.org23 days agoView details
arXiv:2608.24222v1 Announce Type: new Abstract: The digital transformation of the Dutch labour market is reshaping occupational language, career pathways, and job-related skills. Addressing these changes requires granular labour market intelligence. This paper develops an AI-based methodology to analyse digitalisation…
arxiv.org23 days agoView details
Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware
arXiv:2608.23807v1 Announce Type: new Abstract: Masked diffusion language models (dLLMs) can in principle generate text faster than autoregressive (AR) models, since they denoise many tokens at once. Recent systems have begun building serving infrastructure for dLLMs, but none first measure how these models behave und…
arxiv.org23 days agoView details
AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspace
arXiv:2608.23740v1 Announce Type: new Abstract: Concurrent multi-agent coding promises division of labor across modules, robustness through redundancy, and parallel exploration at the natural granularity of multi-file projects. Realtime collaborative editing protocols solve this coordination problem for human teams vi…
arxiv.org23 days agoView details
AHEAD: Adaptive Hindsight with Environment-Augmented Distillation for Agentic RL
arXiv:2608.24114v1 Announce Type: new Abstract: Training multi-turn LLM agents with reinforcement learning typically relies on trajectory-level rewards, which assign a uniform advantage to every step and cannot identify which decisions led to success or failure. Self-distillation methods can provide finer-grained supe…
arxiv.org23 days agoView details
LLM Agents Perform Controlled Experiments Using Simulation Models
arXiv:2608.23622v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding how a system responds to intervention, which in pr…
arxiv.org23 days agoView details
ACE: A Self-Correcting Agentic Canvas Editor for Multi-Slide Presentation Automation
arXiv:2608.24103v1 Announce Type: new Abstract: Commercial design platforms increasingly edit documents through large language model (LLM) agents, but two practical problems block reliable deployment: legacy document formats expose only \emph{flat}, absolutely positioned elements, so agents must recompute coordinates…
arxiv.org23 days agoView details
Memory Is Not Always Needed: Characterizing Conditional Memory in Scientific Reasoning
arXiv:2608.23982v1 Announce Type: new Abstract: Scientific reasoning requires language models to retrieve specialized knowledge and incorporate it reliably into multi-step computation. Conditional memory provides an explicit lookup pathway that complements dense neural representations, but its usefulness is inherently…
arxiv.org23 days agoView details
Inter-dimension Dependence for Multi-Dimensional Evaluation of Open-Ended Text
arXiv:2608.23783v1 Announce Type: new Abstract: LLM-as-a-judge methods are widely used for evaluating the quality of generated open-ended text. Such evaluations are generally multi-dimensional, since the error patterns in texts can be different for different dimensions. Therefore, reliable LLM judges should evaluate e…
arxiv.org23 days agoView details
One Timeline, Many Renderings: A Wolfram Language Paclet for heterogeneous musical output
arXiv:2608.24683v1 Announce Type: new Abstract: One algorithmic composition may require a Csound score, engraved notation, real-time control, and a rehearsal click. Authored separately, their timelines drift. Temporal System is a Wolfram Language paclet that instead compiles one immutable store of typed entities on a…
arxiv.org23 days agoView details
Automata from Agent Traces: Failure and Next-Step Prediction
arXiv:2608.23670v1 Announce Type: new Abstract: LLM-based agents execute multi-step tasks, but their behavioral structure remains opaque: long unstructured traces resist the safety auditing and runtime monitoring that deployment requires. Existing approaches operate per-trace or success-only, so they miss the cross-ru…
arxiv.org23 days agoView details
Curved Inference II: Sleeper Agent Geometry - Extending Interpretability Beyond Probes
arXiv:2608.24037v1 Announce Type: new Abstract: This paper extends Anthropic's Sleeper Agents research [1], which showed artificial backdoors persist through safety training & can be detected by linear probes with >99% accuracy [2]. However, probe-based detection relies on linear separability that may be an artefact o…
arxiv.org23 days agoView details
arXiv:2608.23817v1 Announce Type: new Abstract: SHAP and LIME are now standard tools for interpreting black-box predictions, yet their outputs can vary substantially when the input is perturbed by small amounts of noise--a problem we observed firsthand in our previous work on food security in Madagascar (Ralinirina et…
arxiv.org23 days agoView details
Minima-KV: Retention-Preserving KV Cache Compression with Mixed-Format Paged Attention
arXiv:2608.23834v1 Announce Type: new Abstract: The key-value (KV) cache is a primary capacity and bandwidth bottleneck in long-context LLM serving. We present Minima-KV, a retention-preserving hierarchy for mixed-format paged attention. Recent and protected Anchor pages remain in FP8, while older non-anchor pages mov…
arxiv.org23 days agoView details
Evolutionary Recurrent Decision Model in Developing Adaptive and Maladaptive Behaviors
arXiv:2608.23932v1 Announce Type: new Abstract: This study introduces the evolutionarily recurrent decision model (ERDM), a computational reinforcement learning framework designed to examine how evolutionary mismatch, bounded rationality, and satisficing contribute to adaptive and maladaptive behavior. ERDM simulates…
arxiv.org23 days agoView details
Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV
arXiv:2608.23599v1 Announce Type: cross Abstract: Current assessment of KV-cache compression performance confuses resident bits with read bandwidth and is affected by the artifacts of chunked teacher-forcing. We present Geodesia-KV, a family of training-free KV cache policies based on monotonic block-wise precision al…
arxiv.org23 days agoView details
PROOF-Gen: From Optimized Data to Better Distillation
arXiv:2608.23911v1 Announce Type: new Abstract: Supervised fine-tuning on teacher-generated trajectories is the standard first stage for distilling tool-calling capabilities into deployable models. Post-training pipelines that drive shipped tool-calling agents re-run this stage on a daily or weekly cadence, paying the…
arxiv.org23 days agoView details
ROBE: Reversed-Order-Biased-Experts for Extracting Extreme Long-tail Events from Historical Texts
arXiv:2608.24268v1 Announce Type: new Abstract: This paper proposes methods to extract over 50 types of events from a Dutch historical corpus spanning the 17th and 18th centuries. The methods we propose aim to tackle the impossible: extracting the long-tail of the long-tail. Historic data from before the 19th century…
arxiv.org23 days agoView details
Reflection with Action-Induced Visual Differences for Desktop GUI Agents
arXiv:2608.24015v1 Announce Type: new Abstract: The Planner-Operator-Reflector (POR) framework is widely used in GUI agents to maintain objective alignment in complex tasks through modular collaboration. However, desktop GUIs introduce a key challenge: large, dense interfaces often exhibit subtle or scattered state ch…
arxiv.org23 days agoView details
Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding
arXiv:2608.24024v1 Announce Type: new Abstract: Confidence-based voting aggregates parallel LLM rollouts by weighting each with internal signals such as token log probabilities, and has been actively studied for single-turn reasoning. However, modern LLMs increasingly act as multi-turn search agents that retrieve and…
arxiv.org23 days agoView details
arXiv:2608.24590v1 Announce Type: new Abstract: Self-Consistency (SC) is a decoding strategy that samples diverse reasoning paths and selects the most consistent answer, demonstrating strong performance on complex reasoning problems. However, the excessive token consumption incurred by generating multiple reasoning pa…
arxiv.org23 days agoView details
Rules Before Oracles: Auditable, User-Configurable Argument Selection for Deliberative Polling
arXiv:2608.23979v1 Announce Type: new Abstract: In a deliberative poll, once submissions outnumber what anyone will read, some mechanism chooses which arguments each voter sees, acquiring much of the decision; practice delegates it to opaque learned rankers, so a voter cannot recompute or contest the exposure that sha…
arxiv.org23 days agoView details
OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses
arXiv:2608.24160v1 Announce Type: new Abstract: Multimodal understanding models that can jointly judge text-to-image (T2I), text-to-video (T2V) and text-to-speech (TTS) generation are increasingly used as "OmniJudges" for evaluation and automatic annotation. How reliably they understand what they score remains unclear…
arxiv.org23 days agoView details
Task-Adaptive Rubrics for GUI Reward Modeling
arXiv:2608.24174v1 Announce Type: new Abstract: Recent studies on GUI agents have increasingly focused on outcome reward modeling, which assigns outcome rewards by judging whether an executed trajectory satisfies the success criteria implied by the user instruction. Existing GUI reward verifiers, however, often under-…
arxiv.org23 days agoView details
Paritok-4B: Intent-Conditioned Context Compression for Coding Agents
arXiv:2608.24188v1 Announce Type: new Abstract: Coding agents re-send large file reads and tool outputs to a frontier LLM every turn, and this context dominates their token bill. General-purpose prompt compressors are trained on prose and suit code poorly: they paraphrase identifiers and drop the exact spans an agent…
arxiv.org23 days agoView details
Relative Time Intervals Representation for Word-level Timestamping with Masked Training
arXiv:2608.24041v1 Announce Type: new Abstract: Although Speech Large Language Models (SpeechLLMs) excel at speech understanding and generation, their capacity for fine-grained, temporally aligned outputs remains underexplored. Our work addresses this gap by enabling SpeechLLMs to jointly model speech content and temp…
arxiv.org23 days agoView details
arXiv:2608.24350v1 Announce Type: new Abstract: To reduce the hallucination risk caused by outcome-driven rewards in large language models trained through reinforcement learning with verifiable rewards, existing mitigation approaches introduce process-level factual supervision. However, due to coarse-grained aggregati…
arxiv.org23 days agoView details
arXiv:2608.23922v1 Announce Type: new Abstract: Data mixing is a central design problem in large language model pretraining: given a fixed token budget, practitioners must decide how much data to allocate to each domain. Recent proxy-based methods address this problem by training small models on candidate mixtures, fi…
arxiv.org23 days agoView details
The RAT: A Unified Bayesian Model for RAG Evaluation
arXiv:2608.24753v1 Announce Type: new Abstract: Evaluating Retrieval-Augmented Generation (RAG) systems requires assessing not only end-to-end correctness but also how individual components interact and how errors propagate through the pipeline. We introduce a Bayesian evaluation framework that jointly models retrieva…
arxiv.org23 days agoView details
Function-Level Execution Feedback for Code Preference Optimization
arXiv:2608.23632v1 Announce Type: new Abstract: Process supervision has improved mathematical reasoning, where intermediate steps are naturally expressed as chains of thought. In code generation, however, process supervision remains underexplored because there is no standard notion of a step. Supervision can target li…
arxiv.org23 days agoView details
How much of a measured AI preference is the model, and how much is the instrument?
arXiv:2608.23641v1 Announce Type: new Abstract: Model welfare research infers what a model prefers from the answers returned to prompts written to elicit preferences. Keeling et al. (2024), Mazeika et al. (2025), Mikaelson et al. (2025), Tagliabue and Dung (2025) and Trhlik et al. (2026) have built four instruments fo…
arxiv.org23 days agoView details
MolEmb: Multimodal Large Language Models Can Be Strong Molecular Embedding Models
arXiv:2608.23646v1 Announce Type: new Abstract: Molecular embedding models can serve as foundational infrastructure for computational chemistry and drug discovery, where reusable vector representations support property prediction, virtual screening, and retrieval. Most molecular encoders are specialist models built ar…
arxiv.org23 days agoView details
arXiv:2608.23570v1 Announce Type: new Abstract: Large vision-language models exhibit strong in-context learning (ICL) capabilities, yet when and why visual context helps multimodal ICL remains poorly understood. Empirical studies show a puzzling dichotomy: models sometimes effectively leverage visual demonstrations, y…
arxiv.org23 days agoView details
arXiv:2608.23627v1 Announce Type: new Abstract: Emergency departments (EDs) operate under time pressure, generating multimodal data such as clinical conversations, triage notes, and discharge documents. Recent advances in natural language processing (NLP), particularly pretrained transformers and large language models…
arxiv.org23 days agoView details
Contextual Embedding Evidence for Main--Light Verb Distinctions in Urdu
arXiv:2608.23645v1 Announce Type: new Abstract: Urdu light verbs contribute schematic event-structural meaning while remaining lexically related to corresponding main verbs. This study tests representational predictions derived from Butt's analysis using contextual embeddings from UrduBERT, DunbaaBERT, and multilingua…
arxiv.org23 days agoView details
The Limits of Automatic Evaluation of Creativity in Large Language Models
arXiv:2608.23705v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly capable of generating text that challenges human performance in domains requiring creativity, yet evaluating creativity in LLM-generated content remains a significant challenge. Here, we investigate whether current automatic…
arxiv.org23 days agoView details
Reading Is Not Using: Retrieval, Judgment, and the Design of AI Financial Research Workflows
arXiv:2608.24842v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as AI analysts to process financial disclosures and support AI-assisted investment decisions. Yet such systems are usually evaluated by what they can retrieve, not whether retrieved information affects their judgment…
arxiv.org23 days agoView details
ADE: Agentic Data Evolution Framework for Human-Centered Objectives
arXiv:2608.23719v1 Announce Type: new Abstract: Aligning large language models to human-centered objectives is difficult when targets are non-executable and context-dependent, limiting reliable verification and scalable supervision. Although synthetic data expands coverage, weak verification shifts the bottleneck from…
arxiv.org23 days agoView details
arXiv:2608.23875v2 Announce Type: new Abstract: Artificial Intelligence (AI) algorithms frequently learn creative and unexpected solutions, surprising even expert researchers who develop and study them. They often astonish practitioners by discovering unanticipated behavior, exploiting loopholes in reward signals, or…
arxiv.org23 days agoView details
Quantifying System-Level Harms from AI Adoption in Complex Sociotechnical Systems
arXiv:2608.23906v1 Announce Type: new Abstract: Artificial Intelligence (AI) is increasingly integrated into complex sociotechnical systems, including Critical National Infrastructure (CNI), where harms emerge from interactions between technical, human, and organisational elements. Yet current AI evaluation remains mo…
arxiv.org23 days agoView details
More GPUs or a Smaller Cache? Tensor Parallelism versus KV Compression for Memory-Bound LLM Serving
arXiv:2608.23962v1 Announce Type: new Abstract: When an LLM serving deployment runs out of KVcache room, there are two well-established ways out. Tensor parallelism shards the weights and the KV cache across two, four, or eight devices, buying memory headroom at the price of an all-reduce on every layer and a hardware…
arxiv.org23 days agoView details
Algorithmic Impact Reveals the Hidden Social Choice Structure of Alignment
arXiv:2608.24046v1 Announce Type: new Abstract: When an AI algorithm makes decisions that affect more than one person, aligning it becomes a problem of social choice: how should people's divergent preferences about system behavior be reconciled and aggregated into a single coherent model? The standard approach to alig…
arxiv.org23 days agoView details
arXiv:2608.24069v1 Announce Type: new Abstract: LLM-based multi-agent trading systems, in which specialized agents collaborate through structured communication to produce trading decisions, are moving rapidly from research prototypes to live deployments that control real assets. The same inter-agent communication that…
arxiv.org23 days agoView details
arXiv:2608.24070v1 Announce Type: new Abstract: Prohibitive computational and environmental costs impede the scalable deployment of Large Language Models (LLMs). Traditional compression techniques (sparsity, quantization, low-rank approximations) are typically applied in isolation, and each hits an accuracy-efficiency…
arxiv.org23 days agoView details
AgentWorld: Personality-Aware Reliability Evaluation for Agentic Information Retrieval
arXiv:2608.24076v2 Announce Type: new Abstract: Evaluation of agentic information retrieval remains limited to scripted interactions with uniform users, missing both natural personality diversity and adversarial brittleness. We present AgentWorld, a simulation framework combining (i)Big Five (OCEAN) personality-driven…
arxiv.org23 days agoView details
EMRB: A Multi-Level Benchmark for Evaluating LLM Reasoning over Raw Electromagnetic Signals
arXiv:2608.24086v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as code agents for scientific and engineering analysis, but their ability to analyze raw physical-layer measurements remains untested. We introduce \textbf{EMRB} (\textbf{E}lectro\textbf{m}agnetic \textbf{R}easoning \tex…
arxiv.org23 days agoView details
arXiv:2608.24099v1 Announce Type: new Abstract: GUI agents often encounter dynamic anomalies when deployed on Android devices, from unexpected pop-ups to action misuse, yet existing benchmarks lack systematic evaluation of agent robustness against runtime anomalies. We introduce AnTrap, a comprehensive benchmark that…
arxiv.org23 days agoView details
arXiv:2608.24112v1 Announce Type: new Abstract: Modern text-to-image (T2I) models often have similar total scores but different strengths, making practical selection difficult. Fine-grained benchmarks decompose prompts into questions, yet often return them to prompt scores and fixed categories, weakening attribution a…
arxiv.org23 days agoView details
arXiv:2608.23780v1 Announce Type: new Abstract: LLMs are being used increasingly to measure aspects of student discourse (e.g. talk moves, collaboration, equity of voice) at scale. Typically, LLM-based measures of student talk use transcriptions of classroom conversations that only include verbal contributions, which…
arxiv.org23 days agoView details
Granite.Trust Policy Tools: Shareable, Actionable Policies for Generative AI Applications
arXiv:2608.23870v1 Announce Type: new Abstract: When it comes to safety policies for generative AI, one size does not fit all. Each organization and use case needs to mitigate different risks depending on the application context, regulatory environment, organizational values, and user personas. Yet, existing policy sp…
arxiv.org23 days agoView details
Giga-Embeddings: Mixture-of-Experts Encoders for High-Throughput Text Embeddings
arXiv:2608.23806v1 Announce Type: new Abstract: We introduce Giga-Embeddings, a family of text embedding models designed to combine strong retrieval quality with efficient serving. Its largest member is a sparse 10B-parameter Mixture-of-Experts encoder with approximately 1.8B active parameters per token. Across Englis…
arxiv.org23 days agoView details
From Preferences to Principles: Rubric-Based Alignment for Grounded Knowledge Answers
arXiv:2608.23812v1 Announce Type: new Abstract: Designing effective reward signals for open-domain question answering is challenging because high-quality responses must simultaneously satisfy multiple aspects of answer quality that are difficult to capture with a holistic scalar objective. We introduce a rubric-based…
arxiv.org23 days agoView details
arXiv:2608.23851v1 Announce Type: new Abstract: Grammatical knowledge and how it is empirically tested are typically considered robust to the frequency of the lexical items in the expressions. However, neural network-based models of grammaticality exhibit high sensitivity to lexical frequency. We draw upon Complementa…
arxiv.org23 days agoView details
arXiv:2608.23970v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have made significant progress in understanding and interpreting mul- timedia content. However, their ability to generate me- dia remains limited. Recent approaches have attempted to bridge this gap by translating the hidden repre…
arxiv.org23 days agoView details
arXiv:2608.23766v1 Announce Type: new Abstract: Between AI-assisted item generation and expert review sits a computational evaluator whose decisions are usually treated as technical preliminaries. Yet representation, structural reduction, and selection policy determine which items and evidence psychometricians ever re…
arxiv.org23 days agoView details
Beyond Static and Linear: What Attention Constraints Best Fit Human Reading Times?
arXiv:2608.23818v1 Announce Type: new Abstract: Transformer-based language models are widely used as models of human language processing, yet their attention mechanisms allow lossless access to the full preceding context, unlike the limited memory systems of humans. We hypothesize that installing memory constraints in…
arxiv.org23 days agoView details
Mitigating Exploration Bias in RL for Multi-Instruction Following
arXiv:2608.23830v1 Announce Type: new Abstract: RL has emerged as a powerful paradigm for enhancing the instruction following capabilities of LLMs. While existing training recipes achieve substantial gains, we find that they suffer from exploration bias towards easy instructions when the training data has multiple ins…
arxiv.org23 days agoView details
arXiv:2608.23897v1 Announce Type: new Abstract: When a code generating language model fabricates a Python package name, an adversary who has pre-registered that name on PyPI can convert that hallucination into a supply chain compromise. This event has been termed as 'slopsquatting'. We propose a two layer detector to…
arxiv.org23 days agoView details
Investigating Knowledge Transfer Across Interactive Dialogue Games
arXiv:2608.23969v1 Announce Type: new Abstract: Dialogue games represent a challenging setting where complex cognitive skills are required to accomplish tasks while coordinating with other players. Considering that language represents an interface for both understanding the game rules and executing actions, it is reas…
arxiv.org23 days agoView details
arXiv:2608.24011v1 Announce Type: new Abstract: Chinese ancient document understanding demands complex visual, linguistic, and historical reasoning. Current Large Vision-Language Models (LVLMs) typically rely on an opaque, single-pass generation paradigm, often producing overconfident and weakly grounded responses. To…
arxiv.org23 days agoView details
arXiv:2608.24080v1 Announce Type: new Abstract: In psychological counseling, effective support is not always delivered through long, information-rich responses. Minimal responses, such as backchannel cues and concise empathic statements, help convey attentive listening, express empathy, and encourage clients to contin…
arxiv.org23 days agoView details
RecurSE: Bounded Recursive Self-Evaluation for LLM Rubric Judges
arXiv:2608.24231v1 Announce Type: new Abstract: LLM-as-judge is essential for evaluating open-ended text and steering post-training, yet improving the judge itself typically relies on expensive annotations, reward models, or distillation from stronger teachers. In this work, we eliminate external gold supervision from…
arxiv.org23 days agoView details
SENSESHIFT: Continuous Sentiment-Controlled Text Generation via Encoder-based Mask Infilling
arXiv:2608.24304v1 Announce Type: new Abstract: Recent controllable text generation (CTG) for sentiment control has largely focused on decoder-based large language models, making causal attention the dominant paradigm. While effective for fluent generation, these models still struggle to satisfy complex constraints an…
arxiv.org23 days agoView details
Who is the Agent to Blame? Localizing Faithfulness and Citation Mistakes in Agentic Deep Research
arXiv:2608.24306v1 Announce Type: new Abstract: Deep research (DR) systems produce long-form cited reports by orchestrating multiple agents that search and synthesize information from the web. Citations are the primary mechanism for evaluating the faithfulness of these reports, yet current DR systems exhibit poor cita…
arxiv.org23 days agoView details
Speech-to-SOAP: End-to-End Summarization of Medical Dialogues: KIT@BeTraC 2026
arXiv:2608.24327v1 Announce Type: new Abstract: With the advent of Large Language Models and its instruction following capabilities a promising application is the task of summarization. Within this domain of task the extractive sub-task of clinical protocolling has emerged as a topic of particular interest as it can s…
arxiv.org23 days agoView details
SteerCheck: Attribution Specificity and Alignment Leakage in Activation-Steering Audits
arXiv:2608.24335v1 Announce Type: new Abstract: Activation steering can change behaviour without establishing that the effect is specific to the intended concept. We introduce SteerCheck, a preregistered attribution audit that matches off-target KL and separates mean, protected-tail, polarity, transfer, and semantic c…
arxiv.org23 days agoView details
arXiv:2608.24477v1 Announce Type: new Abstract: Multilingual text embedding models enable cross-lingual transfer of knowledge across a wide range of NLP tasks, but their evaluation remains highly uneven across high-, mid- and low-resource languages. In this paper, we propose a two-dimensional framework, specifically t…
arxiv.org23 days agoView details
Beyond Information Seeking: Severity-Aware Question Supervision for Proactive Medical Dialogue
arXiv:2608.24521v1 Announce Type: new Abstract: Proactive medical dialogue requires an agent to decide what to ask from incomplete patient information. Existing information-seeking approaches commonly prioritize questions that most reduce diagnostic uncertainty. While effective for acquiring informative evidence, this…
arxiv.org23 days agoView details
Calibration-Preserving Pruning: Compression as a Reliability Contract
arXiv:2608.23744v1 Announce Type: cross Abstract: Split conformal prediction, not the pruning rule, supplies finite-sample marginal coverage once a pruned model is fixed independently of the conformal calibration split. We study the separate efficiency problem: can pruning preserve score geometry well enough to obtain…
arxiv.org23 days agoView details
PARTAB: Partition-Aware Reasoning with Structured Evidence for Scalable Table Understanding
arXiv:2608.24082v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong capabilities in table reasoning, but their effectiveness degrades as tables grow in size and complexity due to irrelevant context and difficulty localizing the evidence required for reasoning. Existing approaches typically r…
arxiv.org23 days agoView details
arXiv:2608.24726v1 Announce Type: new Abstract: Polygonal synthesis generates audio by traversing the perimeter of a polygon with a phasor; prior work uses a constant angular velocity, whereas the proposed system adopts constant arc-length (perimeter) velocity. Existing formulations operate on regular, parametrically…
arxiv.org23 days agoView details
Provenance Guided Incremental Learning Under Evolving Concept Definitions
arXiv:2608.23893v1 Announce Type: new Abstract: Learning systems deployed over long periods must adapt not only to statistical changes in incoming data, but also to revisions of the definitions that generate their prediction targets. Conventional concept-drift methods typically infer such changes from observations or…
arxiv.org23 days agoView details
arXiv:2608.24118v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly used in clinical pipelines where a chest X-ray is interpreted alongside retrieved reports, preliminary notes, or prior imaging. Existing benchmarks measure whether models answer correctly in isolation, but not whether they p…
arxiv.org23 days agoView details
Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction
arXiv:2608.24001v2 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for future prediction, motivating the use of multiple models as a wisdom-of-the-crowd mechanism. However, simply increasing crowd size does not guarantee effective diversity, as different LLMs may exhibit redundant behav…
arxiv.org23 days agoView details
Shortcut Before Circuit: Document Statistics Time In-Context Conflict Resolution
arXiv:2608.24460v1 Announce Type: new Abstract: When a context asserts two values for one fact, a model commits to a cue -- recency, repetition, position -- but natural data rarely makes these disagree, so behavior cannot reveal which. We train 26M-parameter transformers on a synthetic language where recency and rarit…
arxiv.org23 days agoView details
arXiv:2608.24615v1 Announce Type: new Abstract: Post-training quantization lowers the memory footprint of Large Language Models (LLMs) and speeds up inference, which is why it is now common for on-device deployment. Most of what we know about its effects, however, comes from English benchmarks. It is not clear whether…
arxiv.org23 days agoView details
arXiv:2608.24168v1 Announce Type: new Abstract: A unified audio model must recognize and understand linguistic, paralinguistic, and environmental information while supporting speech synthesis and editing. A key challenge is representation: understanding favors compact features suited to long-context modeling, whereas…
arxiv.org23 days agoView details
arXiv:2608.24189v1 Announce Type: new Abstract: Memory systems for conversational LLMs are conventionally evaluated by direct, fact-seeking questions about prior dialogue (Direct QA): can the model recall fact X from a prior conversation? We tested whether higher Direct QA accuracy correlates with higher user satisfac…
arxiv.org23 days agoView details
Beyond Semantic Accuracy: Consequence-Aware Evaluation for Safety-Critical Language Understanding
arXiv:2608.24621v1 Announce Type: new Abstract: Can language models be trusted in safety- critical operations? In such settings, strong per- formance on semantic metrics does not guaran- tee operational reliability: a misread altitude, a dropped execution condition, or a confused call- sign may score well under standa…
arxiv.org23 days agoView details
TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis
arXiv:2608.24145v1 Announce Type: new Abstract: LLMs are increasingly used to analyze spreadsheets, CSV files, and other structured data, but producing a correct-looking answer is not the same as producing a trustworthy analysis. A trustworthy result should be supported by a valid path from the user question to the re…
arxiv.org23 days agoView details
From local kernels to global form: modeling the emergence of musical content
arXiv:2608.24660v1 Announce Type: new Abstract: Markov models are established tools for symbolic music, including non-homogeneous formulations. The narrower contribution examined here is an observation-driven estimation mechanism: overlapping sliding windows derive a trajectory of local transition kernels from one sym…
arxiv.org23 days agoView details
arXiv:2608.24760v1 Announce Type: new Abstract: Text-to-CAD aims to generate executable CAD programs from natural-language descriptions. However, real-world descriptions are often underspecified and omit critical spatial constraints required for valid CAD construction, a challenge that has been largely overlooked by e…
arxiv.org23 days agoView details
Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text
arXiv:2608.24780v1 Announce Type: new Abstract: Distinguishing machine-generated text (MGT) from human-written text (HWT) becomes increasingly important due to potential misuse. However, most supervised detectors often degrade out-of-domain (OOD) and require large, diverse training sets. In this work, we analyze the l…
arxiv.org23 days agoView details
Structurally-bounded Agentic Graph Exploration for Evidence-Grounded Scholarly DeepSearch
arXiv:2608.24809v1 Announce Type: new Abstract: We present Crase, a bounded and inspectable alternative to deep research agents for scholarly search. Instead of an open-ended search loop, Crase queries a search engine once for seed papers, expands them along their 1.5-hop citation neighborhood, prunes citation edges w…
arxiv.org23 days agoView details
BrowserForge: Scaling Web Episode via Parallel Browser Sandboxes
arXiv:2608.24848v1 Announce Type: new Abstract: Web agents that act from rendered pixels avoid the fragility and heavy token cost of reading a page's HTML or accessibility tree, but training them depends on large amounts of high-quality interaction trajectories, and how to produce such data at scale remains an open pr…
arxiv.org23 days agoView details
arXiv:2608.23582v1 Announce Type: cross Abstract: We present the Transformer Accelerator (TFA), a synthesizable, parameterizable INT8 memory-to-memory engine for transformer inference. One time-multiplexed datapath handles prompt processing and autoregressive generation. TFA implements matrix multiplication, softmax,…
arxiv.org23 days agoView details
arXiv:2608.24191v1 Announce Type: new Abstract: Urdu, the world's tenth most spoken language with 246 million speakers, remains almost entirely absent from mainstream LLM safety evaluation and nine years of WOAH proceedings. To investigate whether this absence has measurable consequences for content moderation reliabi…
arxiv.org23 days agoView details
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
arXiv:2608.23873v1 Announce Type: new Abstract: Everything a language model sees is tokens. The serving stack knows what each span is -- user input, tool output, instructions -- but the model must keep track of that itself, and it can lose track or be confused: text can be written to read like anything. Prompt injecti…
arxiv.org23 days agoView details
The Annotation Bottleneck in Persian Text NLP: Persian as an Annotation-Scarce Language
arXiv:2608.24698v1 Announce Type: new Abstract: Persian (Farsi) is often described as a low-resource language in natural language processing, but that label collapses distinct shortages into a single category. This paper argues that Persian is more precisely described as annotation-scarce, provided that the term is un…
arxiv.org23 days agoView details
Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts
arXiv:2608.24707v1 Announce Type: new Abstract: While text-based hallucination detection has been extensively studied, spoken hallucination detection remains largely unexplored, particularly for low-resource languages. We present the first multilingual spoken hallucination benchmark comprising 12,013 news samples acro…
arxiv.org23 days agoView details
Gated Activation Steering for Reducing Sycophancy & Hallucination in Medical Question Answering
arXiv:2608.23666v1 Announce Type: new Abstract: Sycophancy and hallucination are persistent failure modes of Large Language Models (LLMs) across domains. However, it becomes particularly consequential in clinical question answering, where responses must remain grounded in the provided context and robust to user pressu…
arxiv.org23 days agoView details
Models
View all models →text-to-speech · transformers · safetensors · breeze
huggingface.co23 days ago536 ptsView details
feature-extraction · transformers · safetensors · qwen3_5
huggingface.co23 days ago105 ptsView details
text-generation · transformers · safetensors · granite
huggingface.co23 days ago99 ptsView details
video-to-video · joyai-video-edit · diffusers · safetensors
huggingface.co24 days ago89 ptsView details
sentence-similarity · sentence-transformers · safetensors · ministral3
huggingface.co24 days ago5 ptsView details
text-generation · transformers · gguf · darkit-v2.5
huggingface.co24 days ago5 ptsView details
text-generation · transformers · safetensors · qwen3_5_text
huggingface.co24 days ago1 ptsView details
image-text-to-text · kerasformers · keras · gemma3n
huggingface.co24 days agoView details
vishinvents/distil-qwen3-1.7b-posthog-prioritizer
text-generation · safetensors · gguf · qwen3
huggingface.co24 days agoView details
vishinvents/distil-qwen3-1.7b-posthog-extractor
text-generation · safetensors · gguf · qwen3
huggingface.co24 days agoView details
vishinvents/distil-qwen3-0.6b-posthog-narrator
text-generation · safetensors · gguf · qwen3
huggingface.co24 days agoView details
image-text-to-text · kerasformers · keras · gemma3
huggingface.co24 days agoView details
sonnybox/MiniMax-H3_experimental
image-text-to-video · minimax-h3 · lora · t2v
huggingface.co24 days agoView details
Capicua25x/Qwen3.8-27B-MXFP4-Quark-RDNA4
image-text-to-text · transformers · safetensors · qwen3_5
huggingface.co24 days agoView details
image-text-to-text · kerasformers · keras · gemma3
huggingface.co24 days agoView details
text-generation · kerasformers · keras · gemma3
huggingface.co24 days agoView details
text-generation · kerasformers · keras · gemma2
huggingface.co24 days agoView details
Open source
View all open source →<details open> kleidiai: Rework KleidiAI Build System/Integration (#26077) * Rework KleidiAI Build System/Integration Signed-off-by: Jonathan Clohessy <Jonathan.Clohessy@arm.com> * Add fp16 guard, and fix cmake caching issue Signed-off-by: Jonathan Clohessy <Jonathan.Clohessy@ar…
github.com23 days agoView details
## Overview llama.cpp 0.3.0 introduces the dots3-note multimodal model (with a new DSA-ISWA KV cache), MTP support for GLM-4.5-Air, and tensor-split (`-sm tensor`) plus multi-sequence rollback fixes for DeepSeek 4. ggml is bumped to v0.22.0 (meta-backend tensor split, per-op Met…
github.com23 days agoView details
<details open> grammar : parse \- in char classes as literal hyphen (#27591) * grammar : accept "\-" escape in character classes gbnf_escape_char_class() escapes '-' as "\-" but parse_char() rejected that escape, so generated tool-call grammars failed to parse. Assisted-by: Clau…
github.com24 days agoView details
<details open> sycl : mark tq2_0 as not supported (#27660) </details> **Website:** - <https://llama.app> **Attestations:** - <https://github.com/ggml-org/llama.cpp/attestations/42777546> **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/release…
github.com24 days agoView details