CompanyAnthropic8 recent entries9 Oct 2026From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security IncidentsarXiv:2610.12463v1 Announce Type: cross Abstract: In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths →9 Oct 2026Constitutional Gating and Deterministic Recovery for Multi-Agent LLM Negotiation: Ablations Against a Stateful Adversarial GatekeeperarXiv:2610.11542v1 Announce Type: cross Abstract: Multi-agent LLM systems negotiating with a stateful counterpart waste model calls in three ways: polite loops that never meet the counterpart's hidden
CompanyOpenAI8 recent entries28 Sept 2026BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineeringarXiv:2609.30489v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science. However, existing→5 Oct 2026Evaluating VQA in Vision Language Models using Cooperative PrinciplesarXiv:2610.02878v1 Announce Type: new Abstract: We evaluate the performance of Vision Language Models in Visual Question Answering (VQA) when questions violate Grice's maxims. To do this, we use VLMs →6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→8 Oct 2026Arctic Questions, Missing Answers: A Dataset and Benchmark for LLM Abstention in Arctic SciencearXiv:2610.09446v1 Announce Type: new Abstract: Large language models (LLMs) should abstain from scientific multiple-choice questions when no option is valid, but frequent abstention alone does not de→9 Oct 2026From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security IncidentsarXiv:2610.12463v1 Announce Type: cross Abstract: In 2026, cybersecurity evaluations involving OpenAI, Anthropic, and Google agents reached real systems outside their authorized test scope. The paths →9 Oct 2026Arbiter: Detecting Interference in LLM Agent System PromptsarXiv:2603.08993v2 Announce Type: replace-cross Abstract: System prompts for LLM-based coding agents are software artifacts that govern agent behavior, yet lack the testing infrastructure applied to c→14 Oct 2026What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)arXiv:2610.15033v1 Announce Type: cross Abstract: Generative search engines such as ChatGPT, Gemini and Perplexity now decide which Web pages users see as sources, and a growing industry of generative→15 Oct 2026UDHRBench: Benchmarking Human Rights in Large Language ModelsarXiv:2610.15179v1 Announce Type: cross Abstract: Large language models are increasingly deployed in contexts requiring adherence to ethical and legal norms, yet their alignment with internationally r
CompanyGoogle8 recent entries15 Oct 2026LLM Alignment--Utility Asymmetry under Semantic-Preserving TransformationsarXiv:2609.32717v2 Announce Type: replace-cross Abstract: Large Language Model (LLM) alignment is intended to ensure that models remain helpful and safe, but its stability under input distributional s→15 Oct 2026Google Earth AI Geospatial Reasoning Agent: Capabilities and a Systematic EvaluationarXiv:2610.15750v1 Announce Type: new Abstract: Google Earth AI is a family of geospatial AI models, together with an agent that orchestrates them. We present this agent, Google Earth AI's Geospatial →15 Oct 2026From Failures to Learnable Worlds: Policy-Conditioned Environment Generation for Navigation AgentsarXiv:2610.19420v1 Announce Type: cross Abstract: Simulated environments enable scalable training data generation for embodied agents, but more data does not necessarily provide what a particular agen→15 Oct 2026Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and BengaliarXiv:2610.19003v1 Announce Type: new Abstract: Abstractive summarization remains challenging across languages, where linguistic quality and factual consistency may diverge, particularly in low-resour→15 Oct 2026DUALVIEW: Leveraging Broad and Output-Specific Evidence for LLM-based Multi-Output Text RegressionarXiv:2610.19206v1 Announce Type: new Abstract: While work on LLM-based regression has largely focused on scalar prediction, multi-output text regression remains less explored. We present DualView, a →15 Oct 2026Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for LeanarXiv:2610.17331v1 Announce Type: new Abstract: General-purpose coding agents use standard shell and file interactions, yet formal theorem-proving agents often rely on specialized, ad-hoc tooling. Thi→15 Oct 2026Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question AnsweringarXiv:2610.20085v1 Announce Type: cross Abstract: Automatic prompt optimization (APO) has shown strong effectiveness for text-based LLMs and LLM systems, but its application to audio-visual understand→15 Oct 2026Anuvani-LID: Robust and Calibrated Spoken Language Identification for Indian LanguagesarXiv:2610.20263v1 Announce Type: new Abstract: Every multilingual speech pipeline begins with a language decision, an error there propagates silently through recognition, translation and routing. In
CompanyMeta8 recent entries16 Sept 2026Self-reported archetypes and behavioral failures in Large Language ModelsarXiv:2609.15998v1 Announce Type: new Abstract: Every large language model (LLM) has behavioral traits and moral preferences that comprise its character. Whether by design or as an emergent property o→16 Sept 2026EviScope: Paired Counterfactual Evidence Diagnostics for Faithful and Efficient Grounded Language ModelsarXiv:2609.17081v1 Announce Type: new Abstract: Grounded language-model systems are often evaluated by final answer accuracy, yet a correct answer can be unsupported, drawn from the wrong source, or p→16 Sept 2026Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language AdaptationarXiv:2609.17398v1 Announce Type: new Abstract: This paper addresses the challenge of making complex healthcare information more accessible through automated Plain Language Adaptation (PLA). PLA aims →18 Sept 2026From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command AuthorizationarXiv:2609.19630v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly integrated into vehicle voice assistants. But linking natural-language requests to vehicle functions creat→2 Oct 2026VIEScore2: Unified Image Evaluation with Spatially Grounded ExplanationsarXiv:2610.00994v1 Announce Type: new Abstract: Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it. We introduce VI→2 Oct 2026Benchmarking Prompt Optimization of Large Language Models With ChessarXiv:2610.00416v1 Announce Type: new Abstract: Evaluating large language models becomes increasingly challenging as their capabilities advance: benchmarks can saturate, public test sets risk contamin→8 Oct 2026Document-Level Text Simplification in Estonian Using Large Language ModelsarXiv:2610.10378v1 Announce Type: new Abstract: Document-level text simplification involves transformations that go beyond sentence-internal edits, addressing discourse coherence, anaphora resolution,→15 Oct 2026Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and BengaliarXiv:2610.19003v1 Announce Type: new Abstract: Abstractive summarization remains challenging across languages, where linguistic quality and factual consistency may diverge, particularly in low-resour
CompanyMistral8 recent entries4 Sept 2026Measuring Harmfulness of Computer-Using AgentsarXiv:2508.00935v3 Announce Type: replace-cross Abstract: Computer-using agents (CUAs), which can autonomously control computers to perform multi-step actions, might pose significant safety risks if m→11 Sept 2026OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist WorkflowsarXiv:2609.09203v1 Announce Type: new Abstract: Existing benchmarks for autonomous AI scientists evaluate only final outputs---generated code, hypotheses, or papers---yet discard the reasoning process→15 Sept 2026Issue Bias in Generative AI Writing Assistance: Political Issues and LLMs in the Swedish 2026 ElectionarXiv:2609.15207v1 Announce Type: new Abstract: Generative AI writing assistants and the Large Language Models (LLMs) that power them are increasingly part of how voters gather information before elec→16 Sept 2026Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language AdaptationarXiv:2609.17398v1 Announce Type: new Abstract: This paper addresses the challenge of making complex healthcare information more accessible through automated Plain Language Adaptation (PLA). PLA aims →17 Sept 2026Reading Between the Lines: Can LLMs Discover the Question Behind the Text?arXiv:2609.19070v1 Announce Type: new Abstract: This paper introduces ``question archaeology'', a specific evaluation task focused on inferring the single, authentic 'genesis question' that motivated →17 Sept 2026Benchmarking Large Language Models for Biomedical Relation ExtractionarXiv:2609.19071v1 Announce Type: new Abstract: Extracting SNP-phenotype associations from biomedical literature is vital but challenging. We benchmarked diverse NLP models, including MLMs, hybrid arc→23 Sept 2026BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease DiagnosisarXiv:2609.25040v1 Announce Type: cross Abstract: Banana crop diseases threaten food security across the world, yet field diagnosis remains difficult because of limited expert access and visual simila→8 Oct 2026Document-Level Text Simplification in Estonian Using Large Language ModelsarXiv:2610.10378v1 Announce Type: new Abstract: Document-level text simplification involves transformations that go beyond sentence-internal edits, addressing discourse coherence, anaphora resolution,
CompanyxAI8 recent entries2 Oct 2026System Attribution in LLM Brand Recommendations: Single Responses Identify the System, Aggregated Brand Profiles Do Not TransferarXiv:2610.00253v1 Announce Type: cross Abstract: Audits of AI visibility summarise the brand recommendations of deployed language models into per-system profiles. We test whether such a profile descr→5 Oct 2026Dissecting model behavior through agent trajectoriesarXiv:2606.17454v3 Announce Type: replace Abstract: AI agent performance is not just a modeling problem, it is fundamentally a systems problem. The advanced capabilities of models are realized through→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→9 Oct 2026WorldBench: Evaluating LLMs on Three.js Voxel World GenerationarXiv:2610.10622v1 Announce Type: cross Abstract: Large language models can now write complete, interactive 3D worlds as code, but grading those worlds automatically is unreliable. Existing judges tak→12 Oct 2026People Making Conversation: Evaluating How Naturally Speech Models ConversearXiv:2610.12802v1 Announce Type: new Abstract: A conversational speech model has to decide, at every pause, whether to speak. Existing evaluations test boundary detection, policy adherence, or aggreg→15 Oct 2026UDHRBench: Benchmarking Human Rights in Large Language ModelsarXiv:2610.15179v1 Announce Type: cross Abstract: Large language models are increasingly deployed in contexts requiring adherence to ethical and legal norms, yet their alignment with internationally r→15 Oct 2026REPRO: Reflective Evolutionary Prompt Optimizer for Automated LLM Red-TeamingarXiv:2610.15513v1 Announce Type: cross Abstract: Safety-aligned large language models (LLMs) remain vulnerable to adversarial prompts that bypass their safety training. Existing automated red-teaming→15 Oct 2026MolHop: Scaffold-Hopping Molecular Design with Agentic Reinforcement LearningarXiv:2610.19920v1 Announce Type: cross Abstract: Molecular design is often formulated as an optimization problem over existing molecular spaces. However, molecular optimization and the discovery of s
CompanyDeepSeek8 recent entries25 Sept 2026The Last Human Gate: Forward Deployed Engineering for Governance AutomationarXiv:2609.29345v1 Announce Type: new Abstract: Enterprise governance requires decisions, evidence, and accountable authority; it does not require every review task to retain its current human impleme→25 Sept 2026Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMsarXiv:2609.29775v1 Announce Type: cross Abstract: Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added to the beginning of the LLM's response, i.e., →28 Sept 2026The Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?arXiv:2609.30705v1 Announce Type: new Abstract: While inference-time reasoning in large language models (LLMs) promises better decision making, its higher computational cost may not yield better econo→30 Sept 2026Who Warmed the Archives? LLMs Overestimate Historical WarmtharXiv:2609.37499v1 Announce Type: new Abstract: Historical archives are an under-used source for extending the instrumental climate record backward in time, and LLMs offer a way to extract the indices→30 Sept 2026EASE: Behavior-Adaptive Skill Curation for Self-Evolving AgentsarXiv:2609.36746v1 Announce Type: new Abstract: Agent skills provide a lightweight mechanism for self-evolving agents to accumulate reusable procedural knowledge without updating model parameters. How→6 Oct 2026Errors of LLM-Assisted Literature Retrieval in Environmental Science: A Comparison Study of Abstract versus Full-text Based PromptsarXiv:2610.05690v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for literature search and synthesis. However, it is unclear whether they retrieve accurate bibliogr→7 Oct 2026Who Wrote It Is Not Enough: Detecting Who Contributed the InsightarXiv:2610.07365v1 Announce Type: new Abstract: As LLMs increasingly assist scientific writing and peer review, detecting who wrote the text is no longer sufficient: we need to determine who contribut→15 Oct 2026MolHop: Scaffold-Hopping Molecular Design with Agentic Reinforcement LearningarXiv:2610.19920v1 Announce Type: cross Abstract: Molecular design is often formulated as an optimization problem over existing molecular spaces. However, molecular optimization and the discovery of s
CompanyNVIDIA8 recent entries24 Apr 2026Kernel-Smith: A Unified Recipe for Evolutionary Kernel OptimizationarXiv:2603.28342v2 Announce Type: replace Abstract: We present Kernel-Smith, a framework for high-performance GPU kernel and operator generation that combines a stable evaluation-driven evolutionary a→6 May 2026EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department TriagearXiv:2605.03998v1 Announce Type: new Abstract: Emergency department triage assigns patients an acuity score that determines treatment priority, and clinical evidence documents persistent gender dispa→6 Jun 2026Evaluation of LLMs for Mathematical Formalization in LeanarXiv:2606.05632v1 Announce Type: new Abstract: Within the past few years, the ability of Large Language Models (LLMs) to generate formal mathematical proofs has improved drastically. We provide a com→10 Jul 2026Compete Then Collaborate: Frontier AI Teachers Build a Verifiable Curriculum to Improve a Coding Student Beyond ImitationarXiv:2607.08255v1 Announce Type: new Abstract: Large language models increasingly serve as teachers generating training data for smaller students. Prior multi-teacher knowledge distillation methods m→24 Jul 2026Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token TimingarXiv:2607.20723v1 Announce Type: cross Abstract: This work presents LeakyLMs, a set of attacks that leak proprietary model, architecture, and deployment information from production language models. L→19 Aug 2026Key-Frame Reasoning with SAM3: Third Place Solution for the MeViS-Text Track of the 8th LSVOS ChallengearXiv:2608.17279v1 Announce Type: new Abstract: This report presents a two-stage, training-free solution for the MeViS-Text track of the 8th LSVOS Challenge. The task requires a model to localize and →1 Sept 2026Distributional Validity and Calibration of a Korean Synthetic Persona Panel for Digital and AI Service Use: A Secondary-Data Validation Against the Korea Media Panel SurveyarXiv:2608.28615v1 Announce Type: cross Abstract: Synthetic personas based on large language models (LLMs) are increasingly proposed as substitutes for human survey respondents, yet systematic validat→15 Oct 2026Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and EvolutionarXiv:2610.19495v1 Announce Type: cross Abstract: Retrieving useful context for a robot requires matching its task, execution stage, and the continuation that should follow. We introduce Robota-Embed,