{"total":30,"rows":[{"id":"2210.11610","title":"Large Language Models Can Self-Improve","created":"2022-10-20","cited_by_count":664,"area":"lr"},{"id":"2601.18734","title":"Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models","created":"2026-01-26","cited_by_count":455,"area":"lr"},{"id":"2601.20802","title":"Reinforcement Learning via Self-Distillation","created":"2026-01-28","cited_by_count":332,"area":"lr"},{"id":"2412.16339","title":"Deliberative Alignment: Reasoning Enables Safer Language Models","created":"2024-12-20","cited_by_count":308,"area":"lr"},{"id":"2212.00193","title":"Distilling Reasoning Capabilities into Smaller Language Models","created":"2022-12-01","cited_by_count":158,"area":"lr"},{"id":"2307.11768","title":"Question Decomposition Improves the Faithfulness of Model-Generated Reasoning","created":"2023-07-17","cited_by_count":108,"area":"lr"},{"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":"2604.02288","title":"Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing","created":"2026-04-02","cited_by_count":76,"area":"lr"},{"id":"2502.03492","title":"Teaching Language Models to Critique via Reinforcement Learning","created":"2025-02-05","cited_by_count":42,"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":"2605.17497","title":"Self-Supervised On-Policy Distillation for Reasoning Language Models","created":"2026-05-17","cited_by_count":10,"area":"lr"},{"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":"2603.15500","title":"Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty","created":"2026-03-16","cited_by_count":9,"area":"lr"},{"id":"2604.26573","title":"PAINT: Partial-Solution Adaptive Interpolated Training for Self-Distilled Reasoners","created":"2026-04-29","cited_by_count":8,"area":"lr"},{"id":"2607.13643","title":"Consensus as Privileged Context for Label-Free Self-Distillation","created":"2026-07-15","cited_by_count":5,"area":"lr"},{"id":"2507.06415","title":"PERK: Long-Context Reasoning as Test-Time Learning","created":"2025-07-08","cited_by_count":4,"area":"lr"},{"id":"2606.04703","title":"Rethinking Continual Experience Internalization for Self-Evolving LLM Agents","created":"2026-06-03","cited_by_count":4,"area":"lr"},{"id":"2603.21877","title":"P^2O: Joint Policy and Prompt Optimization","created":"2026-03-23","cited_by_count":3,"area":"lr"},{"id":"2605.08873","title":"CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization","created":"2026-05-09","cited_by_count":3,"area":"lr"},{"id":"2607.22629","title":"Masked Distillation: Internalizing the Chain-of-Thought in Language Models","created":"2026-06-18","cited_by_count":3,"area":"lr"},{"id":"2606.12400","title":"Doc-to-Atom: Learning to Compile and Compose Memory Atoms","created":"2026-06-10","cited_by_count":2,"area":"lr"},{"id":"2212.09721","title":"KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales","created":"2022-12-19","cited_by_count":1,"area":"lr"},{"id":"2512.17053","title":"Knowledge Distillation with Structured Chain-of-Thought for Text-to-SQL","created":"2025-12-18","cited_by_count":1,"area":"lr"},{"id":"2606.16149","title":"Teaching agentic AI to generalize expert diagnostic reasoning in rare diseases","created":"2026-06-15","cited_by_count":1,"area":"lr"},{"id":"2610.03039","title":"HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning","created":"2026-10-02","cited_by_count":1,"area":"lr"},{"id":"2602.02028","title":"Edit Knowledge, Not Just Facts via Multi-Step Reasoning over Background Stories","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2606.01080","title":"ThinkSwitch: Context Distillation with LoRA and Weight Interpolation for Specific-Purpose Reasoning Tasks","created":"2026-05-31","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":"2610.19176","title":"Learning from Self-Generated Responses: Reliability--Uncertainty Self-Distillation for Reasoning","created":"2026-10-13","cited_by_count":0,"area":"lr"},{"id":"2610.19687","title":"Function-Space Temporal Self-Distillation for Policy Optimization","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}