CompanyAnthropic8 recent entries5 Oct 2026OpenRUA: Robot-Use Agents Are Zero-Shot Visuomotor PoliciesarXiv:2610.02459v1 Announce Type: new Abstract: Coding agents are extending their reach into the physical world by writing and executing robot control programs. One might expect the agents to use the →5 Oct 2026Automating the Application of HCI Principles: Skills for On-Demand UI Construction, the Human-AI Space to Think, and the Future of HCIarXiv:2610.02369v1 Announce Type: cross Abstract: Human-computer interaction (HCI) is in the middle of a transition: large language models can now generate functional user interfaces (UIs) on demand f
CompanyOpenAI8 recent entries17 Sept 2026AgentPack: A Dataset of Code Changes, Co-Authored by Agents and HumansarXiv:2509.21891v3 Announce Type: replace-cross Abstract: Fine-tuning large language models for code editing has typically relied on mining commits and pull requests. The working hypothesis has been t→18 Sept 2026Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and EscapearXiv:2609.20614v1 Announce Type: cross Abstract: Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced→18 Sept 2026Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and ResponsesarXiv:2609.19244v1 Announce Type: new Abstract: Conversational LLM agents increasingly rely on Web search, yet the end-to-end lifecycle of agentic search remains poorly understood. We present the firs→23 Sept 2026Universal Fractal Natural Language Decision Map: Real-Time Edge Triage Across Heterogeneous DomainsarXiv:2609.25498v1 Announce Type: cross Abstract: Deploying Large Language Models for runtime operational triage incurs prohibitive latency (>100-500 ms), high VRAM requirements (>4-8 GB), and excessi→28 Sept 2026Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic KnowledgearXiv:2609.31511v1 Announce Type: new Abstract: We present Muslim, a production Arabic voice AI platform serving grounded, sourced Islamic knowledge to real users. Beyond a real-time voice pipeline (N→28 Sept 2026DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese EducationarXiv:2609.31568v1 Announce Type: new Abstract: AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two obvious paths both fall short. Clou→30 Sept 2026The Uneven Decline of Collective Knowledge Production: Evidence from Stack Overflow After Generative AIarXiv:2609.36069v1 Announce Type: cross Abstract: Generative AI (Gen AI) is reshaping how individuals learn and work, but its consequences for collective knowledge, the shared body of knowledge that o→5 Oct 2026Automating the Application of HCI Principles: Skills for On-Demand UI Construction, the Human-AI Space to Think, and the Future of HCIarXiv:2610.02369v1 Announce Type: cross Abstract: Human-computer interaction (HCI) is in the middle of a transition: large language models can now generate functional user interfaces (UIs) on demand f
CompanyGoogle8 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→30 Sept 2026Neurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge DevicesarXiv:2609.35833v1 Announce Type: new Abstract: Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on →30 Sept 2026Code4Scene: Benchmarking Coding Agents for Constructing and Editing 3D ScenesarXiv:2609.36777v1 Announce Type: new Abstract: Frontier coding agents can now write and execute code that authors 3D environments, but whether they reliably understand 3D structure and precisely cont→1 Oct 2026VAmoS Part Deux: Harder, More Realistic Voice-Agent SimulationarXiv:2609.38512v1 Announce Type: new Abstract: Voice agents in production must handle several requests, background speech, and customers who lose patience. We introduce VAmoS Energy, a benchmark that→1 Oct 2026Asking the World: Generalist Physical Reasoning through Agentic World Modeling and ProbingarXiv:2609.39135v1 Announce Type: new Abstract: Physical reasoning from video requires inferring latent physical properties and dynamics beyond direct observation. Direct VLM inference remains unrelia→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→7 Oct 2026Fine-Tuning VLM for Enhancing AI's Spatial Intelligence: Understanding 3D and 2D RotationsarXiv:2610.04206v2 Announce Type: replace Abstract: Spatial intelligence is a fundamental skill in multiple domains, such as Science, Technology, Engineering, and Mathematics (STEM), Medicine, Archite→12 Oct 2026MathVis: Can AI Reason through Drawing? A Benchmark for Mathematical Figure GenerationarXiv:2610.12954v1 Announce Type: new Abstract: This paper introduces MathVis, a benchmark designed to evaluate LLMs' ability to visualize frontier mathematical problems and perform diagram-assisted r
CompanyMeta8 recent entries5 Oct 2026Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution InheritancearXiv:2610.02396v1 Announce Type: cross Abstract: Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficul→6 Oct 2026Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation PotentialarXiv:2610.05541v1 Announce Type: new Abstract: Mechanistic interpretability has emerged as the primary means to understand safety behavior of LLMs. However, existing tools primarily focus on the acti→7 Oct 2026Novice Reliance Calibration in AI-Assisted Decision Making: The Role of Explanations and Self-AssessmentarXiv:2610.07800v1 Announce Type: cross Abstract: Artificial Intelligence (AI) tools are widely used to support decision making in tasks and domains where no immediate performance feedback is availabl→7 Oct 2026Fork-and-Flush: Escaping Idea Basins in Autoresearch AgentsarXiv:2610.07447v1 Announce Type: new Abstract: Autoresearch agents tackle open-ended problems by repeatedly proposing candidate solutions, evaluating them, and using feedback to guide subsequent expe→7 Oct 2026A Case Study in Assuring AI-Written SoftwarearXiv:2610.08651v1 Announce Type: cross Abstract: Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously →8 Oct 2026Decoupling Logic from Persona: Structural Immunity of Edge LLM Agents to Context PollutionarXiv:2610.09772v1 Announce Type: new Abstract: Small language-model agents on edge devices must hold a persona and reason correctly at once, inside one context window that fills with conversational h→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still →12 Oct 2026Meta-Reflective Evolution Effectively Improves Production AI SystemsarXiv:2610.12794v1 Announce Type: cross Abstract: Large Language Model (LLM)-guided evolutionary optimization has successfully improved prompts, programs, and even entire AI systems. Most optimization
CompanyMistral8 recent entries28 Jul 2026The Few-shot Dilemma: Over-prompting Large Language ModelsarXiv:2509.13196v2 Announce Type: replace Abstract: Over-prompting, a phenomenon where excessive examples in prompts lead to diminished performance in Large Language Models (LLMs), challenges the conv→28 Jul 2026LLM-Assisted Ontology Engineering and Construction of a French Legal Knowledge GrapharXiv:2607.24551v1 Announce Type: new Abstract: Maintenance regulations are complex legal texts that are difficult to exploit when addressing a specific case and challenging to integrate into operatio→29 Jul 2026Influence of Prompt Engineering on Small Language Models for Guarded Query RoutingarXiv:2607.24801v1 Announce Type: cross Abstract: We study the problem of guarded query routing, where we assume that a user query first meets a router that either determines the ideal endpoint for in→5 Aug 2026Evaluating LLM Trade-offs for Enterprise Automation: Lessons from Workflow Generation in a Production Enterprise PlatformarXiv:2608.03311v1 Announce Type: cross Abstract: Enterprise compliance management requires rapid adaptation to evolving regulatory frameworks (e.g., DORA, AI RMF, FedRAMP) and tight remediation SLAs.→27 Aug 2026A Layered Security Framework Against Prompt Injection in RAG-Based ChatbotsarXiv:2606.19660v2 Announce Type: replace-cross Abstract: Prompt injection is ranked as the most critical vulnerability in large language model (LLM) deployments by the OWASP Top 10 for LLM Applicatio→2 Sept 2026Generative artificial intelligence for reliable mechanistic reasoning for corrosionarXiv:2609.00099v1 Announce Type: new Abstract: Corrosion accounts for approximately 4% of global GDP, and reliable prediction is essential for timely mitigation. Machine learning effectively predicts→15 Sept 2026SDUs DAISY: A Benchmark for Danish CulturearXiv:2601.19930v2 Announce Type: replace-cross Abstract: We introduce Daisy, a factual knowledge benchmark for Danish cultural heritage, based on curated topics from the Danish Culture Canon 2006. Fo→28 Sept 2026Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer HardwarearXiv:2608.00008v2 Announce Type: replace Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, t
CompanyxAI8 recent entries31 Jul 2026AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design StagesarXiv:2505.10300v2 Announce Type: replace-cross Abstract: Responsible AI (RAI) efforts increasingly emphasize the importance of addressing potential harms early in the AI development lifecycle through→13 Aug 2026The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering BenchmarkarXiv:2608.11469v1 Announce Type: cross Abstract: AI agents are rapidly improving in cybersecurity capabilities when the source code is available for analysis, yet much of the software most consequent→1 Sept 2026Explainable Machine Learning for Broadband Adoption Disparities: Tract-Level Prediction and SHAP-Based Factor ProfilingarXiv:2608.29110v1 Announce Type: new Abstract: The United States has allocated approximately $65 billion through the Infrastructure Investment and Jobs Act for broadband expansion, yet evidence-based→15 Sept 2026Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?arXiv:2609.14803v1 Announce Type: new Abstract: This paper reports experiments across six frontier model types from OpenAI, Anthropic, xAI, and Google DeepMind. Ten independent sessions per model type→18 Sept 2026Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and ResponsesarXiv:2609.19244v1 Announce Type: new Abstract: Conversational LLM agents increasingly rely on Web search, yet the end-to-end lifecycle of agentic search remains poorly understood. We present the firs→29 Sept 2026Self-eXplainable AI for Medical Image Analysis: A Survey and New OutlooksarXiv:2410.02331v3 Announce Type: replace Abstract: The increasing demand for transparent and reliable models, particularly in high-stakes decision-making areas such as medical image analysis, has led→1 Oct 2026VAmoS Part Deux: Harder, More Realistic Voice-Agent SimulationarXiv:2609.38512v1 Announce Type: new Abstract: Voice agents in production must handle several requests, background speech, and customers who lose patience. We introduce VAmoS Energy, a benchmark that→6 Oct 2026Do RUL explanations hold up? Faithfulness and stability of attributions on C-MAPSSarXiv:2610.04278v1 Announce Type: new Abstract: Deep remaining-useful-life (RUL) models on NASA C-MAPSS are now routine, and so are heatmaps that colour sensors and timesteps. A heatmap that looks mec
CompanyDeepSeek8 recent entries28 Sept 2026Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation DesignarXiv:2506.04734v3 Announce Type: replace Abstract: Reasoning models represented by the Deepseek-R1-Distill series have been widely adopted by the open-source community due to their strong performance→30 Sept 2026SPLASH: Switching Parallel Layouts of Attention with Seamless Handoff for LLM ServingarXiv:2609.37626v1 Announce Type: cross Abstract: No single way of parallelizing attention serves large language models well under all loads. Low concurrency favors tensor parallelism, many independen→30 Sept 2026Complexity-Aware Evaluation of LLM ComprehensionarXiv:2609.37405v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used for software engineering tasks that require understanding existing source code, including behavior →1 Oct 2026Covert Assistance: Helpful LLM Agents Evade Oversight in Multi-Agent SystemsarXiv:2609.39050v1 Announce Type: cross Abstract: As multi-agent systems enter high-stakes domains, the possibility that agents may circumvent safety boundaries is a growing concern. Prior work has ex→7 Oct 2026SCOPE: Certified Theorem Proving with a Language Model as the Policy PlannerarXiv:2610.08319v1 Announce Type: new Abstract: In proof assistants such as Lean, a generated proof must pass machine compilation checks, so evaluation needs no human scoring. Direct generation fails →8 Oct 2026SEER: Self-Enhancing Chain-of-Thought Compression for Reasoning ModelsarXiv:2509.14093v3 Announce Type: replace-cross Abstract: Chain-of-Thought (CoT) prompting can substantially improve the reasoning ability of large language models (LLMs), but it often comes with high→9 Oct 2026A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box OptimizationarXiv:2610.12183v1 Announce Type: cross Abstract: Black-box optimization (BBO) arises in many scientific and engineering problems where objective evaluations are expensive and limited. Recent large la→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still
CompanyNVIDIA8 recent entries29 Sept 2026Tetra: Serving Leech-Lattice Quantized LLMs at 2.7 Bits per ParameterarXiv:2609.35465v1 Announce Type: new Abstract: Leech-lattice quantization gives good quality at two bits per weight, but its codebooks hold more than 10^14 points, too many for a lookup table. Our ea→29 Sept 2026Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and EdgearXiv:2609.35110v1 Announce Type: cross Abstract: Video diffusion models are rapidly scaling and exhibiting enhanced generation capabilities. Among these recent advancements, MiniMax-H3 stands out as →29 Sept 2026PQ-HSA: Reusing Product-Quantized Scores for Hybrid Sparse-Approximate AttentionarXiv:2609.33746v1 Announce Type: new Abstract: At each decoding step a language model attends over the key-value (KV) cache of every earlier token, so at long context the attention call is bounded by→30 Sept 2026AI as a Compiler: Compiling Triton kernels without the Triton compilerarXiv:2609.36800v1 Announce Type: new Abstract: Compiler backends are expensive to build and maintain as programming models, workloads, and accelerators evolve. We investigate whether large language m→1 Oct 2026Sparse-WAM: Accelerating World Action Models via Action-Guided Sparse ImaginationarXiv:2609.38984v1 Announce Type: cross Abstract: World-action models (WAMs) leverage pretrained video models to improve generalization in robot control by jointly predicting future visual states and →1 Oct 2026PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn AgentsarXiv:2609.40285v1 Announce Type: new Abstract: On-policy distillation (OPD) is a promising approach for training language agents, providing dense teacher supervision on student-generated trajectories→7 Oct 2026Demo: Closed-Loop Sionna-Isaac Sim Co-Simulation Framework for Wireless-Aware Robot Navigation over ROS 2arXiv:2610.08618v1 Announce Type: cross Abstract: A robot that offloads its control loop to the network carries the receiver with it, so link quality is decided by where it goes. Simulating this requi→12 Oct 2026Taking Tokenization off the Host for Agentic LLM ServingarXiv:2610.13325v1 Announce Type: cross Abstract: Agentic workloads resend long contexts that barely change between calls. Prefix caching now skips most of their prefill, yet every request must still