TechniqueRLHF / Alignment8 recent entries12 Oct 2026Finite-Sample Guarantees for Fully Discrete Conditional Diffusion ModelsarXiv:2610.13851v1 Announce Type: cross Abstract: We establish finite-sample guarantees for conditional diffusion models learned from data and implemented with finitely many denoising steps. Our appro→12 Oct 2026EchoTab: Learning Measurement-Grounded Representations for Echocardiographic Diagnosis through Tabular ReconstructionarXiv:2610.13599v1 Announce Type: new Abstract: Diagnostic information in multi-view medical imaging studies, like echocardiography, is distributed across views, each capturing different aspects of ca
TechniqueRAG8 recent entries12 Oct 2026Web$hell: A Unified Interface for Agentic Web AccessarXiv:2610.13416v1 Announce Type: new Abstract: Large language model (LLM) agents are becoming direct users of the open web. As they take on increasingly complex and information-intensive tasks, effec→12 Oct 2026Towards Enriching Design-Time Models with Evidence from Simulation and Operational ActivitiesarXiv:2610.13456v1 Announce Type: new Abstract: Cyber-Physical Systems are developed through multiple model based activities, comprising several stages of development. As the development progresses th→12 Oct 2026PRIME: Pre-Retrieval Index Modeling Enhancement for Structured Document Retrieval-RealarXiv:2610.13296v1 Announce Type: cross Abstract: High-precision retrieval over external knowledge bases is essential for LLM agents to operate effectively. However, existing Information Retrieval (IR→12 Oct 2026Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging DataarXiv:2610.13637v1 Announce Type: cross Abstract: Machine learning models are increasingly used for automated feature extraction from weakly annotated bioimaging data, such as microscopy and cytomorph→12 Oct 2026MHR-Router: Multimodal Heterogeneous Retrieval-Enhanced Adaptive Routing for VLM InferencearXiv:2610.13278v1 Announce Type: new Abstract: Vision-language models (VLMs) exhibit complementary capabilities, yet selecting the most suitable expert for a given image-question query remains challe→12 Oct 2026KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache ReusearXiv:2610.13060v1 Announce Type: new Abstract: KV-cache reuse in large language model serving is commonly limited to exact prompt prefixes, preventing reuse when the same retrieved document appears a→12 Oct 2026DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation DesignarXiv:2610.13116v1 Announce Type: new Abstract: As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce s→12 Oct 2026CRM: Retrieval Model with Controllable ConditionarXiv:2412.13844v2 Announce Type: replace-cross Abstract: Retrieval models for recommendation need to account for outcomes such as watch time while searching large item corpora efficiently. We present
TechniqueAgents8 recent entries12 Oct 2026EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied AgentsarXiv:2610.13021v1 Announce Type: new Abstract: Continual learning requires models to accumulate past experience and transfer it to new tasks. Despite substantial research on continual learning, exist→12 Oct 2026DRYLAB-Bench: Benchmarking the Biosecurity Risk of Agentic LLM Mutation DesignarXiv:2610.13116v1 Announce Type: new Abstract: As large language models (LLMs) acquire advanced biological design capabilities, they offer substantial research benefits but simultaneously introduce s→12 Oct 2026Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object DetectionarXiv:2610.13891v1 Announce Type: cross Abstract: Light Detection and Ranging (LiDAR) is critical for autonomous perception, yet its performance is known to degrade in adverse weather. While existing →12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026Agent4Spec: An LLM-based Agentic System to Optimize API Specifications through Automated Validation and Market AnalysisarXiv:2610.13273v1 Announce Type: cross Abstract: API specifications serve as critical documentation for modern software development, directly impacting integration efficiency and client code generati→12 Oct 2026A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv:2610.13663v1 Announce Type: new Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usu→13 Oct 2026It’s awesomeGeorge Hayworth shared a short message stating that he has started using **Grok Bot** and regards it as the best artificial‑intelligence agent he has used so far. He encourages others to try the bot, →13 Oct 2026From Earth to Orbit, France’s Ecosystem Delivers Agentic Computing at Scale With NVIDIACompanies in France are deploying agentic computing across industries spanning space, financial services, the public sector and scientific research, demonstrating how the country’s ecosystem has moved
TechniqueFine-tuning8 recent entries12 Oct 2026Monarch-MoE: Structured Experts for Multimodal Continual Instruction TuningarXiv:2610.13215v1 Announce Type: new Abstract: Learning new tasks in multimodal continual instruction tuning can cause catastrophic forgetting of previously acquired knowledge. Although multi-expert →12 Oct 2026Mesh-Native Tokenisation: Retrofitting Foundation Models to Unstructured DataarXiv:2610.12618v1 Announce Type: cross Abstract: Physics foundation models are an increasingly popular approach for building versatile emulators for spatiotemporal systems. They require tokenisation →12 Oct 2026Introducing DigitalOcean Signals and Simulations: see how your agents and models really behave in production, then test the fix before it shipsYou ship an agent. It mostly works. Then the feedback loop becomes a support ticket: a user got the wrong answer, a tool call looped four times, a refund went out that shouldn’t have. Standard observa→12 Oct 2026Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task CharacteristicsarXiv:2610.13000v1 Announce Type: new Abstract: Language-model agents are used for specialized work such as financial research, healthcare and law. Such agents are often capable enough for a task but →12 Oct 2026Golden Anchor for Video GenerationarXiv:2610.13217v1 Announce Type: cross Abstract: Video generation supports digital content creation, with applications in virtual avatars, AI-driven filmmaking, interactive game engines, and world mo→12 Oct 2026Do Prompt Optimizers Break Requirements They Are Not Scored On? A Preregistered StudyarXiv:2610.13287v1 Announce Type: new Abstract: Prompt optimizers rewrite a prompt to raise one target metric, but prompts also state requirements the metric does not score, such as an output format, →12 Oct 2026AI Models Can Provably Hide Arbitrary CapabilitiesarXiv:2610.13928v1 Announce Type: new Abstract: Capability evaluations aim to surface dangerous model behaviors before deployment, but their reliability depends on the assumption that hidden capabilit→12 Oct 2026A Critical Look at Power Sampling when Test Time Sharpening LLMsarXiv:2610.13653v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has substantially improved LLM reasoning, yet growing evidence suggests it mainly performs distr
TechniqueMultimodal8 recent entries12 Oct 2026MHR-Router: Multimodal Heterogeneous Retrieval-Enhanced Adaptive Routing for VLM InferencearXiv:2610.13278v1 Announce Type: new Abstract: Vision-language models (VLMs) exhibit complementary capabilities, yet selecting the most suitable expert for a given image-question query remains challe→12 Oct 2026Large Language Models, Machine-Assisted Cultural Analytics, and the Agentic TurnarXiv:2610.12792v1 Announce Type: cross Abstract: Technologies like large language models make it easier to convert cultural material into analyzable variables, while LLM-driven agentic systems extend→12 Oct 2026Kairos: Toward a Byte-Level Foundation Model for Every ModalityarXiv:2610.12495v1 Announce Type: cross Abstract: Small language models trained on a single local machine leave little room for architectural trial and error. Kairos combines bidirectional gated-Delta→12 Oct 2026Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task CharacteristicsarXiv:2610.13000v1 Announce Type: new Abstract: Language-model agents are used for specialized work such as financial research, healthcare and law. Such agents are often capable enough for a task but →12 Oct 2026GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose TransferarXiv:2610.12528v1 Announce Type: new Abstract: Continuous glucose monitoring (CGM) foundation models encode each day as one vector that mixes who the person is, what happened that day and how the sen→12 Oct 2026Energy-Efficient Spiking Neural Networks for Sensing-Aided Beam PredictionarXiv:2610.12507v1 Announce Type: cross Abstract: Sensing-aided beam prediction can reduce the beam-training overhead of millimeter-wave (mmWave) systems by leveraging environmental information from c→12 Oct 2026EmbodiedCLBench: Evaluating Continual Learning for Self-Evolving Embodied AgentsarXiv:2610.13021v1 Announce Type: new Abstract: Continual learning requires models to accumulate past experience and transfer it to new tasks. Despite substantial research on continual learning, exist→12 Oct 2026A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network ModelsarXiv:2610.13663v1 Announce Type: new Abstract: Many machine learning approaches are two-level: an expert selects a class of methods, within this class the choice of key components is critical and usu
TechniqueSafety8 recent entries12 Oct 2026Proactive Agentic OrchestrationarXiv:2610.13485v1 Announce Type: new Abstract: Agentic orchestration delegates tasks to sub-agents with independent contexts, providing a key path to extending the effective execution horizon of larg→12 Oct 2026PanTact: Teaching Whole-Body Dexterity with a Wearable Contact InterfacearXiv:2610.12558v1 Announce Type: new Abstract: Humanoid robots have many degrees of freedom and contact surfaces, yet most loco-manipulation research restricts manipulation to the hands and avoids ot→12 Oct 2026Equality, Equity, and Causality in Fairness Research: A Commentary on Cheng (2026)arXiv:2607.17679v2 Announce Type: replace-cross Abstract: This is an invited commentary on the Psychometrika focus article 'Fairness Issues and Evaluation in Psychometrics and AI/ML: What Can We Learn→12 Oct 2026EndoRSI: Physical-Evidence-Driven Recursive Improvement of Endoscopic Robot PoliciesarXiv:2610.13376v1 Announce Type: new Abstract: Artificial intelligence is beginning to automate scientific discovery, yet physical robot-policy research still relies on scientists and engineers to in→12 Oct 2026CASTER: Formalizing Zero-Shot Manipulation from Synthetic Videos as Constrained OptimizationarXiv:2610.12567v1 Announce Type: new Abstract: Prior research on learning from humans often requires real human demonstrations. But advances in video generation models offer a new paradigm: we can no→12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring ScenariosarXiv:2510.10998v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly under scrutiny for perpetuating identity-based discrimination in high-stakes domains such as hir→13 Oct 2026🚨 @AnthropicAI: AI “MAY BE” capable of self-replicating! Now read the actual research: • No fully autonomous rogue replicator demonstrated.…🚨 @AnthropicAI: AI “MAY BE” capable of self-replicating! Now read the actual research: • No fully autonomous rogue replicator demonstrated. • Cyber exploitation deliberately simplified. • Real-world r