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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. 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)
  4. Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training — 2026 · arXiv:2605.12483
  5. Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect Variants — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  6. Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  7. CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  8. 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)
  9. 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)
  10. 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)
  11. DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models — 2026 · arXiv:2608.06243
  12. 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
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery — 2026 · arXiv:2603.08127
  19. From Belief Entrenchment to Robust Reasoning in LLM Agents — 2026 · Transactions of the Association for Computational Linguistics
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. On-Policy Context Distillation for Language Models — 2026 · arXiv:2602.12275
  26. 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)
  27. 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)
  28. Reinforcement Learning via Self-Distillation — 2026 · arXiv:2601.20802
  29. 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)
  30. 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
  31. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM Reasoning — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  32. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  33. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models — 2026 · arXiv:2601.18734
  34. Skill-Conditioned Gated Self-Distillation for LLM Reasoning — 2026 · arXiv:2605.28791
  35. 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)
  36. SpeakRL: Synergizing Reasoning, Speaking, and Acting in Language Models with Reinforcement Learning — 2026 · Proceedings of the 16th International Workshop on Spoken Dialogue System Technology
  37. SynthAgent: Adapting Web Agents with Synthetic Supervision — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  38. 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)
  39. TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  40. 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)
  41. Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  42. Thinking Twice Makes Large Language Models Safer and More Helpful — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  43. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems — 2025 · arXiv:2504.09037
  45. A Survey of Post-Training Scaling in Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence — 2025 · arXiv:2507.21046
  47. A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law — 2025 · arXiv:2505.02665
  48. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
  50. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? — 2025 · arXiv:2503.24235
  51. A Theory of Learning with Autoregressive Chain of Thought — 2025 · arXiv:2503.07932
  52. AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  53. Absolute Zero: Reinforced Self-play Reasoning with Zero Data — 2025 · arXiv:2505.03335
  54. AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions — 2025 · arXiv:2506.09038
  55. AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning — 2025 · arXiv:2504.05108
  57. Aligning LLMs with Individual Preferences via Interaction — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  58. AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  59. Better Process Supervision with Bi-directional Rewarding Signals — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  60. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL — 2025 · arXiv:2505.17952
  61. Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
  62. Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  63. Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  64. CER: Confidence Enhanced Reasoning in LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling — 2025 · arXiv:2502.06703
  66. Can Large Reasoning Models Self-Train? — 2025 · arXiv:2505.21444
  67. Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  68. Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  69. CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  70. CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  71. Code Execution as Grounded Supervision for LLM Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  72. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs — 2025 · arXiv:2503.01307
  73. Concise and Organized Perception Facilitates Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  74. Creative Planning with Language Models: Practice, Evaluation and Applications — 2025 · Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)
  75. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning — 2025 · arXiv:2506.06632
  76. DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation — 2025 · arXiv:2505.19504
  77. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning — 2025 · arXiv:2501.12948 · Nature volume 645, pages 633-638 (2025)
  78. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models — 2025 · arXiv:2507.09955
  79. Demystifying Long Chain-of-Thought Reasoning in LLMs — 2025 · arXiv:2502.03373
  80. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? — 2025 · arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paper
  81. Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining — 2025 · arXiv:2504.07912
  82. Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  83. Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  84. Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  85. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance — 2025 · arXiv:2507.22448
  86. FineReason: Evaluating and Improving LLMs'' Deliberate Reasoning through Reflective Puzzle Solving — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  87. Generalizing Verifiable Instruction Following — 2025 · arXiv:2507.02833
  88. Generating Complex Question Decompositions in the Face of Distribution Shifts — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  89. Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  91. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models — 2025 · arXiv:2503.24377
  92. How Ambiguous Are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  93. How Far Are AI Scientists from Changing the World? — 2025 · arXiv:2507.23276
  94. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark — our card · 2025 · arXiv:2505.18761
  95. Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead — 2025 · arXiv:2504.00294
  96. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  98. Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  99. Kimi K2: Open Agentic Intelligence — 2025 · arXiv:2507.20534
  100. LEMMA: Learning from Errors for MatheMatical Advancement in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025

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