TechniqueRLHF / Alignment8 recent entries12 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 2026CLEAT: Learning Value-Guided Clarification for Interactive AgentsarXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users m
TechniqueRAG8 recent entries8 Oct 2026SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement LearningarXiv:2602.08234v2 Announce Type: replace Abstract: Large Language Model (LLM) agents have shown stunning results in complex tasks, yet they often operate in isolation, failing to learn from past expe→9 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
TechniqueAgents8 recent entries12 Oct 2026Introducing RSI-Anything: Unlocking Recursive Self-Improvement with World Models 🚀 Can AI learn to improve itself by predicting the consequ…Introducing RSI-Anything: Unlocking Recursive Self-Improvement with World Models 🚀 Can AI learn to improve itself by predicting the consequences of its actions? Built on JEPA-Anything, RSI-Anything us→12 Oct 2026Hyper Algorithm Design Agent: Evolving Learnable Optimizer from ZeroarXiv:2609.35328v2 Announce Type: replace Abstract: Meta-Black-Box Optimization (MetaBBO) is one of the highlights in the recent AI for Optimization trend. This paradigm's bi-level workflow leverages →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 2026CLEAT: Learning Value-Guided Clarification for Interactive AgentsarXiv:2610.12655v1 Announce Type: new Abstract: LLM agents can execute increasingly complex tasks, but effective assistance also requires aligning their actions with goals and constraints that users m→12 Oct 2026Branching On-Policy DistillationarXiv:2610.13481v1 Announce Type: new Abstract: On-policy distillation (OPD) provides teacher supervision on student-generated trajectories, but a single trajectory realizes only one continuation at e→12 Oct 2026Beyond Binary Verifiable Rewards: Behavioral Self-Rewarding for SWE AgentsarXiv:2610.12598v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) provides reliable supervision for software engineering agents through executable tests, but binary→12 Oct 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk EvaluationarXiv:2603.07427v3 Announce Type: replace Abstract: As Large Language Models (LLMs) evolve into autonomous agents, existing safety evaluations face a fundamental trade-off: manual benchmarks are costl→12 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
TechniqueFine-tuning8 recent entries12 Oct 2026RARA: Robust Policy Fine-Tuning through Retrieval-Anchored Representation Alignment for Robotic ManipulationarXiv:2610.13578v1 Announce Type: cross Abstract: Pre-trained robot policies, such as Vision-Language-Action (VLA) models, provide a strong foundation for generalist robotic manipulation, but adapting→12 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
TechniqueMultimodal8 recent entries12 Oct 2026HorizonNav: Geometry-Guided Video Diffusion for Anticipatory 3D Robot NavigationarXiv:2610.13849v1 Announce Type: new Abstract: We present HorizonNav, a video diffusion-based framework for anticipatory robot navigation that transforms a single RGB image and a text prompt into a g→12 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
TechniqueSafety8 recent entries12 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→12 Oct 2026Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with HumansarXiv:2610.13303v1 Announce Type: cross Abstract: LLM judges are increasingly deployed as panels, and disagreement among panel members is often read as a symptom of an unclear rubric. We test a label-→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→12 Oct 2026A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)arXiv:2510.22809v2 Announce Type: replace-cross Abstract: Traditional machine learning relies on explicit models and domain assumptions, often limiting flexibility and interpretability. We introduce a→12 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 2026(1/7) I'd like to provide some additional context for the remarks that can be found in this interview. (2/7) My discomfort with the attentio…(1/7) I'd like to provide some additional context for the remarks that can be found in this interview. (2/7) My discomfort with the attention being paid to existential risk---and with the ongoing domi→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