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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 Machines: A Survey of LLM based Reasoning Strategies — 2025 · arXiv:2503.10814
  2. Tool learning via Inference-time Scaling and Cycle Verifier — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  3. TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  4. Topology-of-Question-Decomposition: Enhancing Large Language Models with Information Retrieval for Knowledge-Intensive Tasks — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  5. Towards Automated Error Discovery: A Study in Conversational AI — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  6. Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  7. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models — 2025 · arXiv:2503.09567
  8. Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought — 2025 · arXiv:2501.04682
  9. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning — 2025 · arXiv:2502.18080
  10. Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  11. Troopers at BLP-2025 Task 2: Reward-Selective Fine-Tuning based Code Generation Approach for Bangla Prompts — 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)
  12. UNDO: Understanding Distillation as Optimization — 2025 · arXiv:2504.02521
  13. Unlocking LLMs' Self-Improvement Capacity with Autonomous Learning for Domain Adaptation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  14. Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration — 2025 · arXiv:2510.03865
  15. VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning — 2025 · arXiv:2505.18719
  16. Vision-Language Models Can Self-Improve Reasoning via Reflection — 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)
  17. WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  18. Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  19. s1: Simple test-time scaling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  20. A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  21. A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  22. A Trusted Multi-View Evidential Fusion Framework for Commonsense Reasoning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  23. Abstraction-of-Thought Makes Language Models Better Reasoners — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  24. Advancing Large Language Model Attribution through Self-Improving — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  25. Advancing Process Verification for Large Language Models via Tree-Based Preference Learning — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  26. Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents — 2024 · arXiv:2408.07199
  27. Agent-as-a-Judge: Evaluate Agents with Agents — 2024 · arXiv:2410.10934
  28. AgentGym: Evolving Large Language Model-based Agents across Diverse Environments — 2024 · arXiv:2406.04151
  29. Aligning Large and Small Language Models via Chain-of-Thought Reasoning — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement — 2024 · arXiv:2412.06176
  31. An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning — 2024 · arXiv:2403.00799
  32. An Empirical Study of Multilingual Reasoning Distillation for Question Answering — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  33. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  34. AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  35. Automated Design of Agentic Systems — 2024 · arXiv:2408.08435
  36. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies — 2024 · Transactions of the Association for Computational Linguistics
  37. Benchmarking Automated Theorem Proving with Large Language Models — 2024 · Proceedings of the 1st Workshop on NLP for Science (NLP4Science)
  38. Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  39. Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  40. Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  41. CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay — 2024 · arXiv:2402.04858
  42. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph — 2024 · arXiv:2406.17271
  43. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving — 2024 · arXiv:2407.13690
  44. Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  45. DataComp-LM: In search of the next generation of training sets for language models — 2024 · arXiv:2406.11794
  46. Dialogue Ontology Relation Extraction via Constrained Chain-of-Thought Decoding — 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  47. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs — 2024 · arXiv:2412.21187
  48. Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces — 2024 · arXiv:2410.09918
  49. DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  50. ELAD: Explanation-Guided Large Language Models Active Distillation — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  51. Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision — 2024 · arXiv:2403.09472
  52. EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
  53. Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  54. Evaluating Step-by-Step Reasoning through Symbolic Verification — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
  55. Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. FOLIO: Natural Language Reasoning with First-Order Logic — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  57. Feedback Loops With Language Models Drive In-Context Reward Hacking — 2024 · arXiv:2402.06627
  58. Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  59. Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  60. From $r$ to $Q^*$: Your Language Model is Secretly a Q-Function — 2024 · arXiv:2404.12358
  61. GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents — 2024 · arXiv:2406.06613
  62. Generating Mental Health Transcripts with SAPE (Spanish Adaptive Prompt Engineering) — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  63. Generative Reward Models — 2024 · arXiv:2410.12832
  64. Generative Verifiers: Reward Modeling as Next-Token Prediction — 2024 · arXiv:2408.15240
  65. Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization — 2024 · arXiv:2405.15071
  66. Guided Knowledge Generation with Language Models for Commonsense Reasoning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  67. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs — 2024 · arXiv:2412.18925
  68. I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  69. Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems — 2024 · arXiv:2412.09413
  70. Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  71. Improving Language Model Reasoning with Self-motivated Learning — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  72. Improving Large Language Models in Event Relation Logical Prediction — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  73. In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  74. In-Context Learning with Iterative Demonstration Selection — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  75. In-Context Principle Learning from Mistakes — 2024 · arXiv:2402.05403
  76. Information-Theoretic Distillation for Reference-less Summarization — 2024 · arXiv:2403.13780
  77. InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning — 2024 · arXiv:2402.06332
  78. Interpreting and Improving Large Language Models in Arithmetic Calculation — 2024 · arXiv:2409.01659
  79. Iterative Reasoning Preference Optimization — 2024 · arXiv:2404.19733
  80. LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  81. LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  82. LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection — 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
  83. Language-to-Code Translation with a Single Labeled Example — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  84. Latent Learningscape Guided In-context Learning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  85. Lean-STaR: Learning to Interleave Thinking and Proving — 2024 · arXiv:2407.10040
  86. Learning Formal Mathematics From Intrinsic Motivation — 2024 · arXiv:2407.00695
  87. Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  88. Learning to Correct for QA Reasoning with Black-box LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
  89. Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  91. Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Mastering Board Games by External and Internal Planning with Language Models — 2024 · arXiv:2412.12119
  93. Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding — 2024 · arXiv:2401.12954
  94. Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  95. MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  96. Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning — 2024 · arXiv:2405.00451
  97. MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  98. NExT: Teaching Large Language Models to Reason about Code Execution — 2024 · arXiv:2404.14662
  99. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  100. O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? — 2024 · arXiv:2411.16489

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