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Who cites «STaR: Bootstrapping Reasoning With Reasoning»

585 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents — 2026 · arXiv:2601.12538
  2. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling — 2026 · arXiv:2605.13301
  4. AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  5. AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models — 2026 · arXiv:2607.14552
  7. Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. BIRD: Distilling Decision Boundaries into Rationales for MLLM Adaptation — 2026 · arXiv:2609.33713
  9. Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training — 2026 · arXiv:2605.12483
  10. Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  11. Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  12. Beyond Rejection Sampling: Trajectory Fusion for Scaling Mathematical Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  13. CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  14. CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization — 2026 · arXiv:2604.14214
  15. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety — our card · 2026 · Proceedings of the 21st Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2026)
  16. Claim Verification in the Age of Large Language Models: A Survey — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
  17. Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  19. DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models — 2026 · arXiv:2608.06243
  20. DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  21. Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  22. Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification — 2026 · Proceedings of the 8th Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026
  23. Discovering and Causally Validating Emotion-Sensitive Neurons in Large Audio-Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  25. Efficient Reasoning Distillation: Small Video-Language Models via Synthetic CoT and Difficulty-Aware Fine-Tuning — 2026 · arXiv:2609.16255 · MultiMedia Modeling (MMM 2026), Lecture Notes in Computer Science, vol. 16412, pp. 567-580, Springer, Singapore, 2026
  26. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  28. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Entropy-Aware Reshaping of Reinforcement Signals for Multi-Answer Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  30. EpiCaR: Knowing What You Don''t Know Matters for Better Reasoning in LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Benchmark — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  32. EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  33. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery — 2026 · arXiv:2603.08127
  34. FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning — 2026 · arXiv:2606.15972
  36. From Belief Entrenchment to Robust Reasoning in LLM Agents — 2026 · Transactions of the Association for Computational Linguistics
  37. From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents — 2026 · arXiv:2607.27937
  38. From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier — 2026 · arXiv:2607.07779
  39. GRITHopper: Decomposition-Free Multi-Hop Dense Retrieval — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  40. GoT-R1: Internalizing Graph-of-Thought via Structural Reinforcement for High-Density Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  41. Gold-Guided Programmatic Distillation for Financial Reasoning over Hybrid Tables and Text — 2026 · arXiv:2607.14709
  42. Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning — 2026 · arXiv:2601.19280
  43. How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning — 2026 · arXiv:2605.23926
  45. ISM:Self-Improving Strategy Memory for Continual Mathematical Reasoning — 2026 · arXiv:2606.31191
  46. Immediate Inference: The Missing Foundation in Large Language Model Logical Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. K-OPSD: Verifiable On-Policy Self-Distillation for Post-Training Vision-Language Models on AEC Drawings — 2026 · arXiv:2609.34082
  48. KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning — 2026 · arXiv:2606.00532
  49. Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  50. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. Llamion Technical Report — 2026 · arXiv:2605.25676
  52. Long-Chain Reasoning Distillation via Adaptive Prefix Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. MIRAGE: Multi-Perspective Creative Language Model Reasoning with Reinforcement Learning Guidance — 2026 · arXiv:2609.21554
  54. MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier — 2026 · arXiv:2603.03756
  55. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. OPSRD: On-Policy Self-Role Distillation — 2026 · arXiv:2609.39884
  57. On-Policy Context Distillation for Language Models — 2026 · arXiv:2602.12275
  58. On-Policy Self-Distillation without Any Supervision — 2026 · arXiv:2608.06296
  59. Overcoming Scaling Limits in On-Policy Self-Distillation for LLM Reasoning — 2026 · arXiv:2609.37915
  60. PHF: Privileged Hidden Flow for On-Policy Self-Distillation — 2026 · arXiv:2606.29340
  61. Powering Verifiable Learning via Automated Evolutionary Data Synthesis — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. Prime Agent: A Self-Improving RLM Harness — 2026 · arXiv:2608.23552
  63. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  64. RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  65. ReMedi: Reasoner for Medical Clinical Prediction — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  66. ReasMark: A Robust Watermark for Attributing LLM Reasoning Under Knowledge Distillation Attacks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  68. Recursive Self-Improvement via On-Policy Distillation for Reasoning — 2026 · arXiv:2609.30652
  69. Reinforcement Learning via Self-Distillation — 2026 · arXiv:2601.20802
  70. Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  71. Rethinking RL for LLM Reasoning: It''s Sparse Policy Selection, Not Capability Learning — 2026 · arXiv:2605.06241
  72. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. SIA: Self Improving AI with Harness & Weight Updates — 2026 · arXiv:2605.27276
  74. SWE-Swiss: A Multi-Task Fine-Tuning and RL Recipe for High-Performance Issue Resolution — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  75. Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  76. Scaling Novel Graph Generation via Lightweight Structure-Guided Autoregressive Models — 2026 · arXiv:2606.04287
  77. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  78. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  79. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models — 2026 · arXiv:2601.18734
  80. Self-Review Reinforcement Learning (SRRL) with Cross-Episode Memory and Policy Distillation — 2026 · arXiv:2607.05541
  81. Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline — 2026 · arXiv:2605.26132
  82. SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning — 2026 · arXiv:2608.17301
  83. Skill-Conditioned Gated Self-Distillation for LLM Reasoning — 2026 · arXiv:2605.28791
  84. Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  86. SpeakRL: Synergizing Reasoning, Speaking, and Acting in Language Models with Reinforcement Learning — 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology
  87. Strategy Executability in Mathematical Reasoning: Leveraging Human-Model Differences for Effective Guidance — 2026 · arXiv:2602.22583
  88. Structural Rationale Distillation via Reasoning Space Compression — 2026 · arXiv:2605.07139
  89. SynthAgent: Adapting Web Agents with Synthetic Supervision — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  91. TREK: Distill to Explore, Reinforce to Refine — 2026 · arXiv:2607.05339
  92. TT-SI: Self-Improving LLM Agents with Test-Time Training — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  93. TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  94. Tailoring Teaching to Aptitude: Direction-Adaptive Self-Distillation for LLM Reasoning — 2026 · arXiv:2605.22263
  95. Teacher-Free Self-Training Amplifies but Does Not Compound: A Pass@$K$ Crossover on a Free-Verifier Domain — 2026 · arXiv:2606.07856
  96. Test-Time Reasoners Are Strategic Multiple-Choice Test-Takers — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  97. The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  98. The Hitchhiker''s Guide to Agentic AI: From Foundations to Systems — 2026 · arXiv:2606.24937
  99. The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  100. Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs — 2026 · Findings of the Association for Computational Linguistics: EACL 2026

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