Alternatives and similar repositories for self-improvement-reversal

Users that are interested in self-improvement-reversal are comparing it to the libraries listed below

• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated last year
• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆22Updated 8 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆69Updated 8 months ago
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆52Updated 3 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• koalazf99 / nanoverl
  Collections of RLxLM experiments using minimal codes
  ☆13Updated 6 months ago
• KbsdJames / Omni-MATH
  The official repository of the Omni-MATH benchmark.
  ☆87Updated 8 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆65Updated 2 months ago
• rookie-joe / AutoPSV
  ☆49Updated 10 months ago
• ssmisya / PRMBench
  [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
  ☆81Updated 6 months ago
• test-time-interaction / TTI
  ☆59Updated 3 months ago
• RLHFlow / RAFT
  This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…
  ☆37Updated 11 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆110Updated 4 months ago
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆29Updated 9 months ago
• FreedomIntelligence / OVM
  ☆68Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆81Updated 8 months ago
• hkust-nlp / RL-Verifier-Pitfalls
  Pitfalls of Rule- and Model-based Verifiers: A Case Study on Mathematical Reasoning.
  ☆23Updated 3 months ago
• WooooDyy / MathCritique
  Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".
  ☆56Updated 9 months ago
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 8 months ago
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆40Updated last month
• ChangyuChen347 / MaskedThought
  [ACL 2024] Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models
  ☆24Updated last year
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆113Updated 9 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆60Updated 10 months ago
• BytedTsinghua-SIA / Enigmata
  Resources for the Enigmata Project.
  ☆69Updated last month
• TianHongZXY / RLVR-Decomposed
  Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆100Updated 2 weeks ago
• hanningzhang / prm
  ☆17Updated 10 months ago
• RyanLiu112 / GenPRM
  Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".
  ☆81Updated 3 months ago
• hkust-nlp / GUIMid
  ☆21Updated 4 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆83Updated 3 months ago