{"total":184,"rows":[{"id":"2604.13016","title":"Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe","created":"2026-04-14","cited_by_count":299,"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":"2603.25562","title":"Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes","created":"2026-03-26","cited_by_count":145,"area":"distill"},{"id":"2605.15155","title":"Self-Distilled Agentic Reinforcement Learning","created":"2026-05-14","cited_by_count":55,"area":"agents"},{"id":"2605.26844","title":"Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation","created":"2026-05-26","cited_by_count":51,"area":"distill"},{"id":"2605.03677","title":"Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe","created":"2026-05-05","cited_by_count":49,"area":"distill"},{"id":"2603.23871","title":"HDPO: Hybrid Distillation Policy Optimization via Privileged Self-Distillation","created":"2026-03-25","cited_by_count":42,"area":"lr"},{"id":"2605.06387","title":"Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level","created":"2026-05-07","cited_by_count":35,"area":"lr"},{"id":"2605.08063","title":"Flow-OPD: On-Policy Distillation for Flow Matching Models","created":"2026-05-08","cited_by_count":34,"area":"diffusion"},{"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":"2606.02684","title":"Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation","created":"2026-06-01","cited_by_count":32,"area":"lr"},{"id":"2606.01249","title":"Trust Region On-Policy Distillation","created":"2026-05-31","cited_by_count":30,"area":"distill"},{"id":"2606.15912","title":"On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents","created":"2026-06-14","cited_by_count":27,"area":"distill"},{"id":"2606.22600","title":"On the Position Bias of On-Policy Distillation","created":"2026-06-21","cited_by_count":26,"area":"lr"},{"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":"2605.21924","title":"Visual-Advantage On-Policy Distillation for Vision-Language Models","created":"2026-05-21","cited_by_count":24,"area":"mllm"},{"id":"2609.04172","title":"Rethinking On-Policy Distillation of Large Language Models II: One Training Example","created":"2026-09-03","cited_by_count":24,"area":"distill"},{"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":"2605.11739","title":"Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation","created":"2026-05-12","cited_by_count":19,"area":"distill"},{"id":"2607.13399","title":"Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations","created":"2026-07-15","cited_by_count":19,"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":"2607.05804","title":"TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training","created":"2026-07-07","cited_by_count":17,"area":"distill"},{"id":"2605.12400","title":"OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning","created":"2026-05-12","cited_by_count":16,"area":"lr"},{"id":"2605.13643","title":"Prefix Teach, Suffix Fade: Local Teachability Collapse in Strong-to-Weak On-Policy Distillation","created":"2026-05-13","cited_by_count":16,"area":"distill"},{"id":"2606.08432","title":"Trajectory-Refined Distillation","created":"2026-06-07","cited_by_count":16,"area":"distill"},{"id":"2606.19659","title":"SAGE-OPD: Selective Agent-Guided Intervention for Multi-Turn On-Policy Distillation","created":"2026-06-17","cited_by_count":15,"area":"agents"},{"id":"2607.15161","title":"On-Policy Delta Distillation","created":"2026-07-16","cited_by_count":15,"area":"alignment"},{"id":"2608.24696","title":"On-policy Distillation with Verifiable Reward","created":"2026-08-25","cited_by_count":15,"area":"distill"},{"id":"2606.27377","title":"DanceOPD: On-Policy Generative Field Distillation","created":"2026-06-25","cited_by_count":14,"area":"diffusion"},{"id":"2605.07396","title":"Rubric-based On-policy Distillation","created":"2026-05-08","cited_by_count":13,"area":"alignment"},{"id":"2605.30833","title":"Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation","created":"2026-05-29","cited_by_count":13,"area":"lr"},{"id":"2606.09304","title":"SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling","created":"2026-06-08","cited_by_count":13,"area":"lr"},{"id":"2606.30626","title":"DOPD: Dual On-policy Distillation","created":"2026-06-29","cited_by_count":12,"area":"distill"},{"id":"2608.05987","title":"AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning","created":"2026-08-06","cited_by_count":12,"area":"agents"},{"id":"2606.06021","title":"OPRD: On-Policy Representation Distillation","created":"2026-06-04","cited_by_count":11,"area":"distill"},{"id":"2606.09471","title":"Escaping the KL Agreement Trap in On-Policy Distillation","created":"2026-06-08","cited_by_count":11,"area":"distill"},{"id":"2606.27814","title":"ATOD: Annealed Turn-Aware On-Policy Distillation for Multi-Turn Agentic Tasks","created":"2026-06-26","cited_by_count":11,"area":"agents"},{"id":"2605.09548","title":"Crosslingual On-Policy Self-Distillation for Multilingual Reasoning","created":"2026-05-10","cited_by_count":10,"area":"lr"},{"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":"2605.11613","title":"From Generic Correlation to Input-Specific Credit in On-Policy Self Distillation","created":"2026-05-12","cited_by_count":9,"area":"distill"},{"id":"2607.02592","title":"H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation","created":"2026-07-01","cited_by_count":9,"area":"distill"},{"id":"2604.28123","title":"Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL","created":"2026-04-30","cited_by_count":8,"area":"mllm"},{"id":"2606.22830","title":"Finding the Evidence: Discovering Decision-Supporting Tokens for On-Policy Reasoning Distillation","created":"2026-06-22","cited_by_count":8,"area":"lr"},{"id":"2607.04425","title":"UI-MOPD: Multi-Platform On-Policy Distillation for Unified GUI Agents","created":"2026-07-05","cited_by_count":8,"area":"agents"},{"id":"2607.17247","title":"Distilled Reinforcement Learning for LLM Post-training","created":"2026-07-19","cited_by_count":8,"area":"distill"},{"id":"2607.26246","title":"Weak-to-Strong On-Policy Distillation","created":"2026-07-28","cited_by_count":8,"area":"distill"},{"id":"2608.04419","title":"SPOT: Sparse Probing and Outcome Calibration for On-Policy Distillation","created":"2026-08-05","cited_by_count":8,"area":"distill"},{"id":"2608.16333","title":"Step-Level On-Policy Distillation: Interpolating Between On-Policy Distillation and Supervised Fine-Tuning","created":"2026-08-17","cited_by_count":8,"area":"distill"},{"id":"2605.09725","title":"On-Policy Distillation with Best-of-N Teacher Rollout Selection","created":"2026-05-10","cited_by_count":7,"area":"lr"},{"id":"2606.01476","title":"OmniOPD: Logit-Free On-Policy Distillation via Speculative Verification","created":"2026-05-31","cited_by_count":7,"area":"lr"},{"id":"2606.23104","title":"ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation","created":"2026-06-22","cited_by_count":7,"area":"lr"},{"id":"2604.07941","title":"Large Language Model Post-Training: A Unified View of Off-Policy and On-Policy Learning","created":"2026-04-09","cited_by_count":6,"area":null},{"id":"2606.22793","title":"A Formula-Driven Survey and Research Agenda for On-Policy Distillation","created":"2026-06-22","cited_by_count":6,"area":"distill"},{"id":"2608.14277","title":"SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning","created":"2026-08-14","cited_by_count":6,"area":"lr"},{"id":"2608.25643","title":"A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation","created":"2026-08-26","cited_by_count":6,"area":"distill"},{"id":"2605.28396","title":"ADWIN: Adaptive Windows for Horizon-Aware On-Policy Distillation","created":"2026-05-27","cited_by_count":5,"area":"lr"},{"id":"2606.18195","title":"Learning from the Self-future: On-policy Self-distillation for dLLMs","created":"2026-06-16","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":"2607.29209","title":"SAF-OPD: Stable Advantage Fusion for On-Policy Distillation","created":"2026-07-31","cited_by_count":5,"area":"distill"},{"id":"2608.03632","title":"When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation","created":"2026-08-04","cited_by_count":5,"area":"distill"},{"id":"2608.09826","title":"Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation","created":"2026-08-10","cited_by_count":5,"area":"distill"},{"id":"2608.11829","title":"Towards Understanding On-Policy Distillation through the Lens of Test-Time Scaling","created":"2026-08-12","cited_by_count":5,"area":"lr"},{"id":"2608.13387","title":"CROP: Task Relevance via Counterfactuals for Selective On-Policy Distillation","created":"2026-08-13","cited_by_count":5,"area":"distill"},{"id":"2609.04565","title":"Extremely Sparse Supervision Incentivizes Reasoning Ability","created":"2026-09-03","cited_by_count":5,"area":"lr"},{"id":"2609.05295","title":"RISE: Recursive Improvement via Self-Extrapolating Policy Distillation","created":"2026-09-04","cited_by_count":5,"area":"distill"},{"id":"2609.20511","title":"When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation","created":"2026-09-17","cited_by_count":5,"area":"distill"},{"id":"2605.17862","title":"$\\boldsymbol{f}$-OPD: Stabilizing Long-Horizon On-Policy Distillation with Freshness-Aware Control","created":"2026-05-18","cited_by_count":4,"area":"distill"},{"id":"2606.04703","title":"Rethinking Continual Experience Internalization for Self-Evolving LLM Agents","created":"2026-06-03","cited_by_count":4,"area":"lr"},{"id":"2606.28562","title":"SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision","created":"2026-06-26","cited_by_count":4,"area":"distill"},{"id":"2607.18110","title":"LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks","created":"2026-07-20","cited_by_count":4,"area":null},{"id":"2608.04349","title":"Poly-OPD: Heterogeneous Multi-Teacher On-Policy Distillation for Capability-Selectable Flow Models","created":"2026-08-05","cited_by_count":4,"area":"distill"},{"id":"2608.06802","title":"Simple-OPD: Demystifying Warm-up for On-policy Distillation","created":"2026-08-07","cited_by_count":4,"area":"distill"},{"id":"2608.19181","title":"Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning","created":"2026-08-19","cited_by_count":4,"area":"distill"},{"id":"2608.27409","title":"Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms","created":"2026-08-27","cited_by_count":4,"area":null},{"id":"2605.25378","title":"CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation","created":"2026-05-25","cited_by_count":3,"area":"diffusion"},{"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":"2606.18216","title":"Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients","created":"2026-06-16","cited_by_count":3,"area":"lr"},{"id":"2606.24143","title":"AsyncOPD: How Stale Can On-Policy Distillation Be?","created":"2026-06-23","cited_by_count":3,"area":"distill"},{"id":"2606.30445","title":"When Does Online Imitation Learning Help in LLM Post-Training? The Role of (Non-)Realizability Beyond Horizon","created":"2026-06-29","cited_by_count":3,"area":"offlinerl"},{"id":"2607.19046","title":"Contrastive On-Policy Distillation","created":"2026-07-21","cited_by_count":3,"area":"distill"},{"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":"2608.10905","title":"ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation","created":"2026-08-11","cited_by_count":3,"area":"distill"},{"id":"2608.11698","title":"REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation","created":"2026-08-12","cited_by_count":3,"area":"alignment"},{"id":"2608.31119","title":"PaperGym: Rubric-Centered Evolution for Research-Plan Generation","created":"2026-08-31","cited_by_count":3,"area":null},{"id":"2609.16937","title":"Beyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation","created":"2026-09-15","cited_by_count":3,"area":"distill"},{"id":"2605.08737","title":"The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs","created":"2026-05-09","cited_by_count":2,"area":"distill"},{"id":"2605.09640","title":"Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning","created":"2026-05-10","cited_by_count":2,"area":null},{"id":"2605.27765","title":"Restoring the Sweet Spot: Pass-Rate Weighted Self-Distillation for LLM Reasoning","created":"2026-05-26","cited_by_count":2,"area":"lr"},{"id":"2606.00437","title":"EST-PRM: Stress-Testing Process Reward Models Before They Become Load-Bearing","created":"2026-05-30","cited_by_count":2,"area":"lr"},{"id":"2606.29296","title":"Process Advantage Signal Shaping: A Paradigm-Agnostic Middleware for Process-Supervised RL in LLM Reasoners","created":"2026-06-28","cited_by_count":2,"area":"lr"},{"id":"2606.29863","title":"KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search","created":"2026-06-29","cited_by_count":2,"area":"agents"},{"id":"2606.30345","title":"DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer Training","created":"2026-06-29","cited_by_count":2,"area":"distill"},{"id":"2608.01735","title":"DAPD: Dual-Anchored Policy Distillation","created":"2026-08-03","cited_by_count":2,"area":null},{"id":"2608.09233","title":"DreOPD: Degraded-Reference Extrapolative On-Policy Distillation for Flow-matching Models","created":"2026-08-10","cited_by_count":2,"area":"diffusion"},{"id":"2608.24987","title":"D$^3$-MOPD: Dynamic Domain ScheDuling for Efficient Multi-Teacher Distillation","created":"2026-08-25","cited_by_count":2,"area":"distill"},{"id":"2608.27448","title":"TTPO: Test-Time Policy Optimization","created":"2026-08-27","cited_by_count":2,"area":"lr"},{"id":"2608.27960","title":"When Teacher Guidance Misleads: Reward-Aligned On-Policy Distillation","created":"2026-08-28","cited_by_count":2,"area":"distill"},{"id":"2609.08798","title":"Eliciting Weak-to-Strong Generalization with On-Policy Reverse Distillation","created":"2026-09-08","cited_by_count":2,"area":"distill"},{"id":"2609.22254","title":"Teacher Should Think Ahead: Adaptive Continuations for Reliable On-Policy Distillation","created":"2026-09-06","cited_by_count":2,"area":"lr"}],"next_cursor":"100"}