CompanyAnthropic8 recent entries12 Aug 2026Situation Graph Prediction for User Perspective ModelingarXiv:2602.13319v2 Announce Type: replace Abstract: Perspective-aware AI requires modeling evolving internal states---goals, emotions, contexts---not merely preferences. Progress is limited by a data →18 Aug 2026OGX: An Open-Source, Vendor-Neutral Generative AI Application ServerarXiv:2608.14580v1 Announce Type: new Abstract: OGX (Open GenAI Stack) is an open-source AI application server and Python library that implements the APIs of major frontier labs (OpenAI, Anthropic, Go
CompanyOpenAI8 recent entries23 Apr 2026Model Capability Assessment and Safeguards for Biological WeaponizationarXiv:2604.19811v1 Announce Type: cross Abstract: AI leaders and safety reports increasingly warn that advances in model reasoning may enable biological misuse, including by low-expertise users, while→1 May 2026Policy-Governed LLM Routing with Intent Matching for Instrument LaboratoriesarXiv:2604.26955v1 Announce Type: cross Abstract: AI tutoring systems in engineering labs face a tension between providing sufficient assistance and preserving learning opportunities. Existing systems→11 May 2026LLM-Based Agents for Competitive Landscape Mapping in Drug Asset Due DiligencearXiv:2508.16571v4 Announce Type: replace Abstract: In this paper, we describe and benchmark a competitor-discovery component used within an agentic AI system for fast drug asset due diligence. A comp→26 May 2026How Well Do Models Follow Their Constitutions?arXiv:2605.24229v1 Announce Type: new Abstract: Frontier AI developers now train models against long written behavioral specifications, such as Anthropic's constitution (Anthropic, 2025a) and OpenAI's→10 Jun 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for BiosecurityarXiv:2606.11150v1 Announce Type: new Abstract: Large language models (LLMs) are rapidly acquiring capabilities relevant to biological research, from literature synthesis to interpretation of experime→26 Jun 2026The Open Source Economic Index of AI Adoption and CapabilityarXiv:2606.26118v1 Announce Type: cross Abstract: We work towards measuring both AI adoption and the capability of AI to perform discrete labor tasks across various occupations. To measure adoption, w→18 Aug 2026OGX: An Open-Source, Vendor-Neutral Generative AI Application ServerarXiv:2608.14580v1 Announce Type: new Abstract: OGX (Open GenAI Stack) is an open-source AI application server and Python library that implements the APIs of major frontier labs (OpenAI, Anthropic, Go→17 Sept 2026WetRobo: A Reproducible Robot Kit for Coding Agents in Biological LaboratoriesarXiv:2609.18435v1 Announce Type: new Abstract: Automating biological research requires general-purpose, reproducible robot systems that allow individual wet-lab researchers to delegate robot tasks wi
CompanyGoogle8 recent entries4 Jun 2026Knowledge Index of Noah's ArkarXiv:2606.05104v1 Announce Type: new Abstract: Knowledge benchmarks for LLMs face three issues: scaling-driven designs that do not operationalize disciplinary representativeness; flat-payment annotat→26 Jun 2026Generative AI and Copyright Infringement: A Legal-Technical Analysis of AI Music Generation Systems Under 17 U.S.C. Title 17arXiv:2606.26111v1 Announce Type: cross Abstract: Generative artificial intelligence (GenAI) has enabled users to synthesize music with text prompts, combining copyrighted lyrics, AI-composed melodies→29 Jun 2026Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI ModelsarXiv:2606.18142v3 Announce Type: replace Abstract: AI agents are moving from advisors to actors, booking travel, planning menus, and running procurement on behalf of users. Existing benchmarks for AI→1 Jul 2026Rethinking the Role of Feature Engineering and Learning Strategies in Few-Shot Hidden Emotion RecognitionarXiv:2606.31249v1 Announce Type: new Abstract: In this paper, we present the solution developed by our team, XInsight Lab, which achieved first place in Track 3 of the 4th EI-MIGA-IJCAI Challenge wit→11 Aug 2026Can Open-Weight Models Compete on Financial Text Comprehension?arXiv:2608.08634v1 Announce Type: new Abstract: Open-weight language models from Chinese AI labs caught up on benchmarks relative to proprietary frontier models in recent months. Yet their reliability→12 Aug 2026Situation Graph Prediction for User Perspective ModelingarXiv:2602.13319v2 Announce Type: replace Abstract: Perspective-aware AI requires modeling evolving internal states---goals, emotions, contexts---not merely preferences. Progress is limited by a data →18 Aug 2026Benchmarking Frontier Text-to-Image Models on Image-Description PromptsarXiv:2608.14976v1 Announce Type: new Abstract: Text-to-image models are typically reported on average-case prompts, which understates the gap between systems on compositionally demanding requests inv→28 Aug 2026Accelerating Scientific Research with Gemini in the Real-WorldarXiv:2608.26701v1 Announce Type: new Abstract: We present an extension and comprehensive real-world validation of Co-Scientist, a Gemini-based multi-agent system designed to accelerate end-to-end sci
CompanyMeta8 recent entries9 Jul 2026Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research LoopsarXiv:2607.07663v1 Announce Type: new Abstract: AI systems increasingly participate in their own improvement: revising their outputs, adapting their own harnesses during deployment, training on data t→14 Aug 2026EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction predictionarXiv:2608.12906v1 Announce Type: cross Abstract: RNA-Protein Interactions (RPIs) are critical for regulating cellular functions. While traditional wet-lab experiments for RPI detection are costly and→19 Aug 2026The Emergence of Lab-Driven Alignment Signatures: A Psychometric Framework for Auditing Latent Bias and Compounding Risk in Generative AIarXiv:2602.17127v2 Announce Type: replace Abstract: Large language models increasingly serve as reasoning layers in multi-agent systems, where one provider's models may generate, judge, and summarize →28 Aug 2026Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within $5090arXiv:2608.27370v1 Announce Type: new Abstract: Language model pretraining has become almost synonymous with prohibitive cost, placing it out of reach for much of the academic and open-source communit→28 Aug 2026Accelerating Scientific Research with Gemini in the Real-WorldarXiv:2608.26701v1 Announce Type: new Abstract: We present an extension and comprehensive real-world validation of Co-Scientist, a Gemini-based multi-agent system designed to accelerate end-to-end sci→22 Sept 2026Team DArgk at the 2026 ELOQUENT lab for evaluating generative language model quality: Residuals of Humanity: AI Detection Evasion via GRPO Fine-TuningarXiv:2609.22221v1 Announce Type: new Abstract: Large language models (LLMs) can generate fluent and coherent text that is increasingly difficult to distinguish from human writing, motivating the deve→5 Oct 2026Multimodal reasoning for broadly neutralizing antibody discovery from label-free human B cell repertoires across virus familiesarXiv:2610.03160v1 Announce Type: cross Abstract: Discovering broadly neutralizing antibodies (bnAbs) from human natural immune repertoires remains a fundamental challenge in immunology, hindered by: →8 Oct 2026GAGR-Lab: Evaluating Joint Spatial-Geometric and Analytic Function ReasoningarXiv:2610.10201v1 Announce Type: cross Abstract: Joint spatial-geometric and analytic function reasoning requires translating a perceived spatial configuration into a symbolic function whose executed
CompanyMistral3 recent entries25 May 2026It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the promptarXiv:2605.23825v1 Announce Type: cross Abstract: It has generally been assumed that geopolitical bias in language models originates from the training data used during the pre-training phase. We teste→10 Jul 2026Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model OptimizationarXiv:2603.00910v2 Announce Type: replace-cross Abstract: Layer-wise capacity in large language models is highly non-uniform: some layers contribute disproportionately to loss reduction, whereas other→11 Aug 2026Can Open-Weight Models Compete on Financial Text Comprehension?arXiv:2608.08634v1 Announce Type: new Abstract: Open-weight language models from Chinese AI labs caught up on benchmarks relative to proprietary frontier models in recent months. Yet their reliability
CompanyDeepSeek3 recent entries20 May 2026The Growing Pains of Frontier Models: When Leaderboards Stop Separating and What to Measure NextarXiv:2605.18840v1 Announce Type: cross Abstract: Leaderboards rank frontier models on independent axes but do not reveal whether capabilities reinforce or trade off across releases -- and at the fron→29 Jun 2026Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI ModelsarXiv:2606.18142v3 Announce Type: replace Abstract: AI agents are moving from advisors to actors, booking travel, planning menus, and running procurement on behalf of users. Existing benchmarks for AI→11 Aug 2026Can Open-Weight Models Compete on Financial Text Comprehension?arXiv:2608.08634v1 Announce Type: new Abstract: Open-weight language models from Chinese AI labs caught up on benchmarks relative to proprietary frontier models in recent months. Yet their reliability
CompanyNVIDIA8 recent entries2 Sept 2026Workload Identification with Physical Side Channels for AI GovernancearXiv:2609.00309v1 Announce Type: cross Abstract: AI compute verification is one of the first tangible and tractable points for international policy aimed at AI governance. Determining whether frontie→14 Sept 2026Curriculum-Based Adversarial Heterogeneous Agent Reinforcement Learning for Autonomous Quad-Copter Landing in Maritime SettingsarXiv:2609.12758v1 Announce Type: new Abstract: Recovering unmanned aerial vehicles (UAVs) in maritime environments is challenging due to wind turbulence and ship-deck motion, making it a valuable tes→17 Sept 2026Learning to Stack: Cube-Stacking Imitation Learning from Virtual Reality DemonstrationsarXiv:2609.19040v1 Announce Type: new Abstract: Imitation learning is attractive for robot manipulation, but collecting demonstrations remains a bottleneck for multi-stage tasks requiring repeated sce→17 Sept 2026CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for QuadrotorsarXiv:2609.17758v1 Announce Type: cross Abstract: Deep Reinforcement Learning has demonstrated remarkable capability in quadrotor control, yet learned policies offer no guarantee of respecting safety →24 Sept 2026X2Real: an eXtensive simulation benchmark for real-world generalist policiesarXiv:2609.27449v1 Announce Type: new Abstract: Generalist robot manipulation policies have developed rapidly, yet their reliable evaluation remains challenging due to fundamental flaws in existing si→1 Oct 2026Fiatlux: A Long-Horizon Benchmark for Humanoid Ladder Climbing and Light-Bulb ReplacementarXiv:2609.38216v1 Announce Type: new Abstract: Existing benchmarks evaluate tabletop manipulation, flat-floor household activity, or humanoid locomotion and manipulation as separate task groups; none→7 Oct 2026SoloQ: Calibration-Free Quantization for Diffusion Language ModelsarXiv:2610.07121v1 Announce Type: new Abstract: Diffusion large language models dLLMs) have emerged as a promising alternative to autoregressive language models through bidirectional diffusion-based t→7 Oct 2026Enhancing Diffusion Language Models with Autoregressive Post-Training WeightsarXiv:2610.08108v1 Announce Type: new Abstract: Diffusion language models (dLLMs) have emerged as a promising alternative to autoregressive (AR) language models, offering flexible token-update orders