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

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  1. Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  2. Thinking Twice Makes Large Language Models Safer and More Helpful — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  3. Training Specialist Models without Reasoning Trajectories for Domain Expert Distillation — 2026 · arXiv:2609.13770
  4. Trajectory Learnability for Offline On-Policy Distillation with Imperfect Teachers — 2026 · arXiv:2609.18321
  5. VERIFY-RL: Verifiable Recursive Decomposition for Reinforcement Learning in Mathematical Reasoning — 2026 · arXiv:2602.07559
  6. VISTA: Verifier-Informed Student-to-Teacher Adaptation for On-Policy Self-Distillation — 2026 · arXiv:2608.28306
  7. WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  8. Weak-to-Strong Elicitation via Mismatched Wrong Drafts — 2026 · arXiv:2605.17314
  9. When Internalization Fails: Finding Better Targets for Reasoning Compression — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  10. 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)
  11. dOPSD: On-Policy Self-Distillation for Diffusion Language Models — 2026 · arXiv:2607.04428
  12. A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning — 2025 · arXiv:2510.18814
  13. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems — 2025 · arXiv:2504.09037
  14. 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)
  15. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence — 2025 · arXiv:2507.21046
  16. A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law — 2025 · arXiv:2505.02665
  17. 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)
  18. A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics — 2025 · arXiv:2502.14333
  19. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well? — 2025 · arXiv:2503.24235
  20. A Theory of Learning with Autoregressive Chain of Thought — 2025 · arXiv:2503.07932
  21. 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
  22. Absolute Zero: Reinforced Self-play Reasoning with Zero Data — 2025 · arXiv:2505.03335
  23. AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions — 2025 · arXiv:2506.09038
  24. 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)
  25. Agentic-R1: Distilled Dual-Strategy Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  26. Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning — 2025 · arXiv:2504.05108
  27. Aligning LLMs with Individual Preferences via Interaction — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  28. AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  29. Automatic Generation of Inference Making Questions for Reading Comprehension Assessments — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
  30. Benchmarking Uncertainty Metrics for LLM Target-Aware Search — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  31. Better Process Supervision with Bi-directional Rewarding Signals — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  32. Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL — 2025 · arXiv:2505.17952
  33. Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
  34. Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning — 2025 · arXiv:2505.20561
  35. 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
  36. 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
  37. CARE-STaR: Constraint-aware Self-taught Reasoner — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  38. CER: Confidence Enhanced Reasoning in LLMs — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  39. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling — 2025 · arXiv:2502.06703
  40. Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  41. Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning — 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)
  42. Can Large Reasoning Models Self-Train? — 2025 · arXiv:2505.21444
  43. Can MLLMs Absorb Math Reasoning Abilities from LLMs as Free Lunch? — 2025 · arXiv:2510.14387
  44. Capture the Key in Reasoning to Enhance CoT Distillation Generalization — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  45. Chain of Methodologies: Scaling Test Time Computation without Training — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  46. Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question Answering — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  47. Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  48. 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)
  49. 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)
  50. CoTD-PO: Chain-of-Thought Distillation with Preference Optimization — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  51. Code Execution as Grounded Supervision for LLM Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  52. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs — 2025 · arXiv:2503.01307
  53. Concise and Organized Perception Facilitates Reasoning in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  54. 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)
  55. Critic-CoT: Boosting the Reasoning Abilities of Large Language Model via Chain-of-Thought Critic — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  56. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning — 2025 · arXiv:2506.06632
  57. DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  58. DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation — 2025 · arXiv:2505.19504
  59. DP-Ens DurationQA: Dual-Prompt Fine-Tuning with Log-Probability Ensemble for Duration Question Answering — 2025 · Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing
  60. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning — 2025 · arXiv:2501.12948 · Nature volume 645, pages 633-638 (2025)
  61. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models — 2025 · arXiv:2507.09955
  62. Demystifying Long Chain-of-Thought Reasoning in LLMs — 2025 · arXiv:2502.03373
  63. 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
  64. Dynamic Risk Assessments for Offensive Cybersecurity Agents — 2025 · arXiv:2505.18384
  65. Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining — 2025 · arXiv:2504.07912
  66. Empowering Persuasion Detection in Slavic Texts through Two-Stage Generative Reasoning — 2025 · Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)
  67. Enhanced Data Synthesis for LLM through Reasoning Structures Generated by Hierarchical GFlowNet — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  68. Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  69. 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
  70. Evaluating Language Model Reasoning about Confidential Information — 2025 · arXiv:2508.19980
  71. Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  72. ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  73. Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  74. FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  75. FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  76. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance — 2025 · arXiv:2507.22448
  77. Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  78. 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)
  79. From Long to Short: LLMs Excel at Trimming Own Reasoning Chains — 2025 · arXiv:2509.06174
  80. Future Policy Approximation for Offline Reinforcement Learning in LLM Reasoning — 2025 · arXiv:2509.19893
  81. GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  82. Generalizing Verifiable Instruction Following — 2025 · arXiv:2507.02833
  83. 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)
  84. Generative Reward Modeling via Synthetic Criteria Preference Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. 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)
  86. HARP: Hesitation-Aware Reframing in Transformer Inference Pass — 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)
  87. 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
  88. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models — 2025 · arXiv:2503.24377
  89. 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
  90. How Far Are AI Scientists from Changing the World? — 2025 · arXiv:2507.23276
  91. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark — our card · 2025 · arXiv:2505.18761
  92. How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning — 2025 · arXiv:2505.24273
  93. Idola Tribus of AI: Large Language Models tend to perceive order where none exists — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  94. In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback — 2025 · arXiv:2511.09865
  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. Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  100. Keep Guessing? When Considering Inference Scaling, Mind the Baselines — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025

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