TechniqueRLHF / Alignment8 recent entries12 Oct 2026Bridging Human and Model Attention: Explainability Analysis of CNN, Mamba, and ViT Architectures with Gaze-Based ValidationarXiv:2610.12703v1 Announce Type: cross Abstract: High-risk applications of deep learning require precise characterization of model decision-making. We conduct a systematic explainability evaluation a→12 Oct 2026Beyond Successful Robot Demonstrations: Learning from Human Interactions and Modeling Failure DynamicsarXiv:2610.13522v1 Announce Type: new Abstract: Action-conditioned world models offer a promising foundation for generalist robotic intelligence by predicting the consequences of actions. However, exi
TechniqueRAG8 recent entries9 Oct 2026ViSkill: Reinforcing VLM Agents with Evolving Visual-Native SkillsarXiv:2610.12403v1 Announce Type: cross Abstract: Skill-augmented agents improve sample efficiency by distilling successful trajectories into reusable strategies. Yet most existing approaches remain t→9 Oct 2026Region-Aware CLS Token Augmentation for Fine-Grained Image RetrievalarXiv:2610.10991v1 Announce Type: new Abstract: Image retrieval methods often rely on a single global semantic descriptor extracted from an image, e.g., the [CLS] token in vision transformers. However→9 Oct 2026DaCe-DT: Data-Centric Offline Multi-Task Reinforcement Learning via Adaptive Prompts and Trajectory Correction for Heterogeneous TasksarXiv:2610.11085v1 Announce Type: new Abstract: Offline multi-task reinforcement learning (Offline MTRL) heavily depends on the quality and distribution of pre-collected data. However, existing method→12 Oct 2026SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search AgentsarXiv:2610.13157v1 Announce Type: new Abstract: Reinforcement learning (RL) for search agents often suffers from evidence fabrication, a failure mode where agents bypass external information (E_{ext})→12 Oct 2026SharP: Soft and Hard Prompt-Guided Augmentation with LLM for Low Resource Fake News DetectionarXiv:2610.13207v1 Announce Type: new Abstract: Fake news detection under low resource conditions is challenged by the scarcity of labeled data and the difficulty of capturing subtle deceptive pattern→12 Oct 2026CopRoute: Dependence-Aware Conformal Routing for Language ModelsarXiv:2610.13276v1 Announce Type: new Abstract: Set-based language model routing aims to increase the coverage of the event where at least one model answers a query correctly while controlling the num→12 Oct 2026CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report GenerationarXiv:2610.13059v1 Announce Type: new Abstract: Radiology reports are essential for diagnostic reasoning and patient care, yet their manual preparation is time-consuming and cognitively demanding. Aut→13 Oct 2026Cross-cloud conversational analytics made simple with open standardsThe reality for most organizations is that data lives everywhere. As engineering teams expand and adopt specialized platforms for their workloads, enterprise data naturally disperses across multiple c
TechniqueAgents8 recent entries12 Oct 2026A Step Harder, Not a Step Too Far: The Benefits and Limits of Curriculum Difficulty Progression in GRPOarXiv:2610.13669v1 Announce Type: new Abstract: Curriculum learning typically organizes training samples from easy to hard. In GRPO, medium-difficulty samples are attractive for online selection becau→12 Oct 2026A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety AssurancearXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s→13 Oct 2026Toward RL on mixed-precision, mixed-accelerator samplersWe trained a model on agentic coding tasks using fully asynchronous RL and mixed-precision, mixed-accelerator samplers. With off-policy correction, training stayed stable through convergence, on par w→13 Oct 2026One Agent Development Kit, five languagesWhen we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud Run, or live inside →13 Oct 2026Inside Action Gateway in Managed AgentsA coding agent finishes a change and wants to open a GitHub issue with a link to its results. The agent can describe the issue, but creating it belongs to a different system. It needs a tool that can →13 Oct 2026EU AI Act compliance for AI agents: a practical engineering guideLearn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a practical credit-assistant example. The post EU AI Act compliance for AI agents: →13 Oct 2026David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets c…David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets could achieve superhuman performance for the first time. He a→13 Oct 2026Cross-cloud conversational analytics made simple with open standardsThe reality for most organizations is that data lives everywhere. As engineering teams expand and adopt specialized platforms for their workloads, enterprise data naturally disperses across multiple c
TechniqueFine-tuning8 recent entries12 Oct 2026Personalized Federated Direct Preference Optimization via LoRA AdaptersarXiv:2610.12885v1 Announce Type: new Abstract: Federated Direct Preference Optimization (FedDPO) enables privacy-preserving alignment of language models across distributed agents without centralizing→12 Oct 2026Mind the Temporal Gap: Evaluating Video Models for Temporal Understanding in DrivingarXiv:2610.12575v1 Announce Type: cross Abstract: Modern video-language models are increasingly treated as general-purpose video reasoners, yet it remains unclear whether they robustly capture tempora→12 Oct 2026JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied AgentsarXiv:2610.12957v1 Announce Type: cross Abstract: Embodied agents must translate multimodal observations and user requests into executable actions while adapting to product constraints, changing goals→12 Oct 2026Dream to Remember: Continual Steering of Generalist Robot Policies with World ModelsarXiv:2610.13816v1 Announce Type: cross Abstract: Generalist robot policies are trained with imitation learning and are bounded by the quality and coverage of their demonstrations. Reinforcement learn→12 Oct 2026DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion ModelsarXiv:2610.12572v1 Announce Type: new Abstract: Online reinforcement learning (RL) fine-tunes diffusion models with black-box rewards, but reverse-process methods such as Flow-GRPO are limited in effi→12 Oct 2026CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report GenerationarXiv:2610.13059v1 Announce Type: new Abstract: Radiology reports are essential for diagnostic reasoning and patient care, yet their manual preparation is time-consuming and cognitively demanding. Aut→12 Oct 2026ATHLETE: Learning Reactive Humanoid Tennis via Trajectory-Guided Motion MatchingarXiv:2610.13572v1 Announce Type: new Abstract: Humanoid tennis requires reactive whole-body coordination under rapidly changing ball dynamics, yet collecting task-specific motion-capture demonstratio→13 Oct 2026EU AI Act compliance for AI agents: a practical engineering guideLearn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a practical credit-assistant example. The post EU AI Act compliance for AI agents:
TechniqueMultimodal8 recent entries12 Oct 2026Forward Dynamics ModelsarXiv:2610.13117v1 Announce Type: new Abstract: Vision-language-action (VLA) models and world action models (WAMs) have advanced robotic policy learning by building on pretrained vision-language model→12 Oct 2026Evo-World: A Lightweight Vision-Language-Action Model with Future Motion Prediction via Optical-Flow SupervisionarXiv:2610.12936v1 Announce Type: new Abstract: Vision-language-action (VLA) models provide a unified framework for visual understanding, language grounding, and robot control, yet anticipating how th→12 Oct 2026Evidential Multimodal Transformers with Dempster-Shafer Fusion for Emotion RecognitionarXiv:2610.13013v1 Announce Type: new Abstract: Softmax-based multimodal emotion recognition methods often assign high confidence even when sensor data are corrupted or contradictory, for example when→12 Oct 2026Evidence-Guided Counterfactual Learning for Long-Tailed Robotic PoliciesarXiv:2610.12861v1 Announce Type: new Abstract: In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbala→12 Oct 2026Dual-Stream Memory for Vision-Language-Action PoliciesarXiv:2610.13262v1 Announce Type: new Abstract: Memory-dependent manipulation requires a policy to track execution state and recover visual evidence that is no longer observable. We propose dual-strea→12 Oct 2026CliQ-RRG: Clinical-Knowledge Guided Disease-aware Visual-Textual Alignment for QA-Style Radiology Report GenerationarXiv:2610.13059v1 Announce Type: new Abstract: Radiology reports are essential for diagnostic reasoning and patient care, yet their manual preparation is time-consuming and cognitively demanding. Aut→12 Oct 2026Beyond Actions: Learning Future Operation Targets for Vision-Language-Action ModelsarXiv:2610.13212v1 Announce Type: cross Abstract: Actions specify what a robot should execute, but do not describe what those commands will achieve. Vision-language-action (VLA) policies nevertheless →13 Oct 2026Cross-cloud conversational analytics made simple with open standardsThe reality for most organizations is that data lives everywhere. As engineering teams expand and adopt specialized platforms for their workloads, enterprise data naturally disperses across multiple c
TechniqueSafety8 recent entries13 Oct 2026Toward RL on mixed-precision, mixed-accelerator samplersWe trained a model on agentic coding tasks using fully asynchronous RL and mixed-precision, mixed-accelerator samplers. With off-policy correction, training stayed stable through convergence, on par w→13 Oct 2026One Agent Development Kit, five languagesWhen we talk about agents, that doesn't necessarily mean we're talking about Python. In today's modern ecosystem, an agent might run as a high-concurrency Go microservice on Cloud Run, or live inside →13 Oct 2026Inside Action Gateway in Managed AgentsA coding agent finishes a change and wants to open a GitHub issue with a link to its results. The agent can describe the issue, but creating it belongs to a different system. It needs a tool that can →13 Oct 2026EU AI Act compliance for AI agents: a practical engineering guideLearn how agent traces, human oversight, production evaluations, and log retention support EU AI Act compliance with a practical credit-assistant example. The post EU AI Act compliance for AI agents: →13 Oct 2026David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets c…David Silver is one of the all-time greats. He was the creator of AlphaGo, which changed the course of history by showing that neural nets could achieve superhuman performance for the first time. He a→13 Oct 2026Cross-cloud conversational analytics made simple with open standardsThe reality for most organizations is that data lives everywhere. As engineering teams expand and adopt specialized platforms for their workloads, enterprise data naturally disperses across multiple c→13 Oct 2026Character.AI files for bankruptcyCharacter.AI, one of the first breakout startups of the generative AI boom, has filed for bankruptcy and is selling some of its assets to Disney. The company, which builds various online bots for user→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