{"total":90,"rows":[{"id":"2602.12125","title":"Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation","created":"2026-02-12","cited_by_count":184,"area":"lr"},{"id":"2604.00626","title":"A Survey of On-Policy Distillation for Large Language Models","created":"2026-04-01","cited_by_count":163,"area":"distill"},{"id":"2604.03128","title":"Self-Distilled RLVR","created":"2026-04-03","cited_by_count":131,"area":"distill"},{"id":"2603.24472","title":"Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?","created":"2026-03-25","cited_by_count":103,"area":"lr"},{"id":"2604.10674","title":"Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents","created":"2026-04-12","cited_by_count":90,"area":"agents"},{"id":"2604.24005","title":"TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents","created":"2026-04-27","cited_by_count":47,"area":"lr"},{"id":"2603.23871","title":"HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation","created":"2026-03-25","cited_by_count":42,"area":"lr"},{"id":"2604.01193","title":"Embarrassingly Simple Self-Distillation Improves Code Generation","created":"2026-04-01","cited_by_count":40,"area":"distill"},{"id":"2604.13010","title":"Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation","created":"2026-04-14","cited_by_count":33,"area":"lr"},{"id":"2603.12273","title":"Aligning Language Models from User Interactions","created":"2026-02-18","cited_by_count":28,"area":"alignment"},{"id":"2605.10889","title":"Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why","created":"2026-05-11","cited_by_count":25,"area":"lr"},{"id":"2605.05204","title":"D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models","created":"2026-05-06","cited_by_count":22,"area":"diffusion"},{"id":"2605.07725","title":"SOD: Step-wise On-policy Distillation for Small Language Model Agents","created":"2026-05-08","cited_by_count":21,"area":"agents"},{"id":"2607.26057","title":"Pass the Baton: Trajectory-Relayed On-Policy Distillation","created":"2026-07-28","cited_by_count":18,"area":"distill"},{"id":"2605.01347","title":"MAD-OPD: Breaking the Ceiling in On-Policy Distillation via Multi-Agent Debate","created":"2026-05-02","cited_by_count":17,"area":"agents"},{"id":"2605.31490","title":"Are Full Rollouts Necessary for On-Policy Distillation?","created":"2026-05-29","cited_by_count":17,"area":"distill"},{"id":"2608.06296","title":"On-Policy Self-Distillation without Any Supervision","created":"2026-08-06","cited_by_count":17,"area":"lr"},{"id":"2605.10194","title":"STEPS: Selective On-Policy Self-Distillation for Reasoning","created":"2026-05-11","cited_by_count":16,"area":"distill"},{"id":"2605.27140","title":"StepOPSD: Step-Aware Online Preference Self-Distillation for Agent Reinforcement Learning","created":"2026-05-26","cited_by_count":16,"area":"lr"},{"id":"2606.08432","title":"Trajectory-Refined Distillation","created":"2026-06-07","cited_by_count":16,"area":"distill"},{"id":"2606.30626","title":"DOPD: Dual On-policy Distillation","created":"2026-06-29","cited_by_count":12,"area":"distill"},{"id":"2608.09228","title":"Privileged Solutions or Context-Induced Teacher Behavior? Dissecting On-Policy Self-Distillation","created":"2026-08-10","cited_by_count":12,"area":"distill"},{"id":"2606.11559","title":"HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation","created":"2026-06-10","cited_by_count":11,"area":"agents"},{"id":"2605.12652","title":"Multi-Rollout On-Policy Distillation via Peer Successes and Failures","created":"2026-05-12","cited_by_count":10,"area":"distill"},{"id":"2605.22263","title":"Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning","created":"2026-05-21","cited_by_count":10,"area":"lr"},{"id":"2606.26091","title":"On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity","created":"2026-06-24","cited_by_count":10,"area":"distill"},{"id":"2605.11613","title":"From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation","created":"2026-05-12","cited_by_count":9,"area":"distill"},{"id":"2608.01589","title":"Is More Privileged Information Better? From Solution Traces to Problem-Solving Structure in Self-Distilled Reasoning","created":"2026-08-03","cited_by_count":9,"area":"distill"},{"id":"2608.18271","title":"Rethinking Privileged Information in On-Policy Self-Distillation","created":"2026-08-18","cited_by_count":9,"area":"distill"},{"id":"2605.12741","title":"Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation","created":"2026-05-12","cited_by_count":8,"area":"distill"},{"id":"2605.19436","title":"CEPO: RLVR Self-Distillation using Contrastive Evidence Policy Optimization","created":"2026-05-19","cited_by_count":8,"area":"lr"},{"id":"2606.04036","title":"Self-Distilled Policy Gradient","created":"2026-06-02","cited_by_count":8,"area":"lr"},{"id":"2604.14054","title":"$\\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data","created":"2026-04-15","cited_by_count":7,"area":"distill"},{"id":"2605.06597","title":"UniSD: Towards a Unified Self-Distillation Framework for Large Language Models","created":"2026-05-07","cited_by_count":7,"area":"distill"},{"id":"2605.15113","title":"Learning from Language Feedback via Variational Policy Distillation","created":"2026-05-14","cited_by_count":7,"area":"distill"},{"id":"2606.09348","title":"PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment","created":"2026-06-08","cited_by_count":6,"area":"lr"},{"id":"2608.14144","title":"Self-Supervised Visual On-Policy Distillation","created":"2026-08-14","cited_by_count":6,"area":"distill"},{"id":"2605.22675","title":"Self-Policy Distillation via Capability-Selective Subspace Projection","created":"2026-05-21","cited_by_count":5,"area":"distill"},{"id":"2607.28449","title":"Lightning OPD 2.0: Mitigating Style Bias in Cross-Teacher On-Policy Distillation for Large Reasoning Models","created":"2026-07-30","cited_by_count":5,"area":"lr"},{"id":"2608.13179","title":"Teach the Magnitude, Not the Direction: Verifier-Bounded Credit Assignment for Multi-Turn Multi-step LLM Agents","created":"2026-08-13","cited_by_count":4,"area":"agents"},{"id":"2604.07776","title":"Structured Distillation of Web Agent Capabilities Enables Generalization","created":"2026-04-09","cited_by_count":3,"area":"agents"},{"id":"2605.30251","title":"Same Evidence, Different Answers: Canonical-Context On-Policy Distillation for Multi-Turn Language Models","created":"2026-05-28","cited_by_count":3,"area":"distill"},{"id":"2606.10385","title":"Beyond Absolute Imitation: Anchored Residual Guidance for Privileged On-Policy Distillation","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2606.11627","title":"When Context Returns: Toward Robust Internalization in On-Policy Distillation","created":"2026-06-10","cited_by_count":3,"area":"distill"},{"id":"2607.19046","title":"Contrastive On-Policy Distillation","created":"2026-07-21","cited_by_count":3,"area":"distill"},{"id":"2607.21051","title":"Sample-Efficient Learning from Agent Experience","created":"2026-07-23","cited_by_count":3,"area":null},{"id":"2607.24720","title":"The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation","created":"2026-07-27","cited_by_count":3,"area":"wm"},{"id":"2605.30290","title":"Self-Trained Verification for Training- and Test-Time Self-Improvement","created":"2026-05-28","cited_by_count":2,"area":"lr"},{"id":"2607.06855","title":"Geometric Self-Distillation for Reasoning Generalization","created":"2026-07-07","cited_by_count":2,"area":"lr"},{"id":"2609.25623","title":"What Should a Self-Teacher See? Privileged Context Design for On-Policy Self-Distillation","created":"2026-09-22","cited_by_count":2,"area":"distill"},{"id":"2606.10334","title":"Self-Distillation Policy Optimization via Visual Feedback: Bridging Code and Visual Artifacts","created":"2026-06-09","cited_by_count":1,"area":"distill"},{"id":"2606.30518","title":"Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts","created":"2026-06-29","cited_by_count":1,"area":"rag"},{"id":"2608.08764","title":"Learning from Consensus and Disagreement: Unsupervised On-Policy Self-Distillation with Minority-Trajectory Contrast","created":"2026-08-09","cited_by_count":1,"area":"distill"},{"id":"2609.15972","title":"Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States","created":"2026-09-14","cited_by_count":1,"area":null},{"id":"2609.35611","title":"On-Policy Self-Distillation for Multi-Turn Image Editing","created":"2026-09-28","cited_by_count":1,"area":"distill"},{"id":"2609.36642","title":"PR-OPD: Privileged Representation On-policy Self-Distillation for Agentic Reinforcement Learning","created":"2026-09-29","cited_by_count":1,"area":"agents"},{"id":"2610.10447","title":"A Good Self-Teacher Meets the Student Where They Are: Joint On-Policy Learning and Teaching","created":"2026-10-07","cited_by_count":1,"area":"distill"},{"id":"2604.15577","title":"Reward Weighted Classifier-Free Guidance as Policy Improvement in Autoregressive Models","created":"2026-04-16","cited_by_count":0,"area":"alignment"},{"id":"2605.07276","title":"Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair","created":"2026-05-08","cited_by_count":0,"area":"lr"},{"id":"2605.19354","title":"Next-Acceleration-Scale Prediction for Autoregressive MRI Reconstruction","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2606.18624","title":"PragReST: Self-Reinforcing Counterfactual Reasoning for Pragmatic Language Understanding","created":"2026-06-17","cited_by_count":0,"area":"lr"},{"id":"2606.25800","title":"ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models","created":"2026-06-24","cited_by_count":0,"area":"vla"},{"id":"2607.05346","title":"OptiAgent: End-to-End Optimization Modeling via Multi-Agent Iterative Refinement","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2607.27888","title":"Not All Tokens Deserve Equal Credit: Counterfactual Sensitivity Credit Reallocation for Long-CoT Reasoning","created":"2026-07-30","cited_by_count":0,"area":"lr"},{"id":"2608.09745","title":"SR-OPSD: Self-Referenced On-Policy Self-Distillation","created":"2026-08-10","cited_by_count":0,"area":"lr"},{"id":"2608.09789","title":"ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection","created":"2026-08-10","cited_by_count":0,"area":"distill"},{"id":"2609.16459","title":"OPD-Aha: From Linguistic Momentum to Visual Reflection in Multimodal On-Policy Distillation","created":"2026-09-15","cited_by_count":0,"area":"lr"},{"id":"2609.29518","title":"CataOPD: Catalytic On-Policy Distillation for Large Language Model Reasoning","created":"2026-08-25","cited_by_count":0,"area":"lr"},{"id":"2609.32201","title":"Instruct, Not Answer: Using Instruction Privileges in On-Policy Context Distillation","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.33136","title":"Leaky Students: Membership Inference against On-Policy Distillation","created":"2026-09-27","cited_by_count":0,"area":"safety"},{"id":"2609.33181","title":"SeOPD: Self-Evolving LLMs via Online Policy Distillation from Self-Generated Chain-of-Thought","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2609.33200","title":"Teach Yourself Where to Look: On-Policy Attention Self-Distillation for Reasoning","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2609.33417","title":"Grounding Memory Summarization in Utility Intent","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34225","title":"USA: Update-aware SAM for Cross-domain On-Policy Disitllation of Language Agents","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.34234","title":"MAS-OPD: On-Policy Distillation for Multi-agent Systems","created":"2026-09-28","cited_by_count":0,"area":"distill"},{"id":"2609.34418","title":"OSPD: On-Policy Self-Distillation for Persona-Consistent Dialogue","created":"2026-09-28","cited_by_count":0,"area":"distill"},{"id":"2609.35390","title":"Inductive Feedback for Mixed-Policy Distillation","created":"2026-09-28","cited_by_count":0,"area":"distill"},{"id":"2609.35741","title":"Shockingly Simple Self-retrospection Improves Agentic Models Without RL","created":"2026-09-28","cited_by_count":0,"area":"agents"},{"id":"2609.37132","title":"Train Ahead, Distill Back: Bootstrapping On-Policy Self-Distillation for Large Language Models","created":"2026-09-29","cited_by_count":0,"area":"synth"},{"id":"2609.38086","title":"VISTA: Internalizing Collective Visual Experience via On-Policy Distillation for Active Multimodal Agents","created":"2026-09-29","cited_by_count":0,"area":"distill"},{"id":"2609.39957","title":"Learning When and How to Intervene: A Hindsight-Distilled Sentinel for Coding Agents","created":"2026-09-30","cited_by_count":0,"area":"agents"},{"id":"2609.40285","title":"PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents","created":"2026-09-30","cited_by_count":0,"area":"distill"},{"id":"2610.00949","title":"PG-SFT: Balancing Capability Acquisition and Retention in Offline Agent Fine-Tuning","created":"2026-10-01","cited_by_count":0,"area":"agents"},{"id":"2610.02191","title":"The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.04950","title":"How Should Teachers Be Prepared? RL on Student-Induced States for On-Policy Distillation","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.05872","title":"Off-Policy Merging Beats On-Policy Self-Distillation for Continual Learning","created":"2026-10-05","cited_by_count":0,"area":"distill"},{"id":"2610.08781","title":"IdeaAnchor: Teaching LLMs to Turn Literature into Research Ideas","created":"2026-10-06","cited_by_count":0,"area":null},{"id":"2610.13000","title":"Hindsight Structured Advice Distillation: Steering Executor Agents with Advisors Trained on Their Failures and Task Characteristics","created":"2026-10-09","cited_by_count":0,"area":"agents"},{"id":"2610.19820","title":"ActionOPD: Distilling Decisions, Not Tokens","created":"2026-10-14","cited_by_count":0,"area":"agents"},{"id":"2610.20261","title":"Harness Policy Distillation: Aligning Agent Policies with Runtime Semantics","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}