Alternatives and similar repositories for Awesome_Environment_Scaling

Users that are interested in Awesome_Environment_Scaling are comparing it to the libraries listed below

• zzli2022 / TLDR
  Code for Research Project TLDR
  ☆24Updated 4 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆69Updated 4 months ago
• rookie-joe / AutoPSV
  ☆51Updated last year
• KbsdJames / omni-math-rule
  The rule-based evaluation subset and code implementation of Omni-MATH
  ☆25Updated 11 months ago
• WangHanLinHenry / SPA-RL-Agent
  Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"
  ☆56Updated 2 months ago
• GAIR-NLP / self-improvement-reversal
  ☆13Updated last year
• hkust-nlp / Laser
  Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
  ☆60Updated 6 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• StarDewXXX / AdaR1
  The official repository of NeurIPS'25 paper "Ada-R1: From Long-Cot to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization"
  ☆20Updated last month
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆89Updated 3 weeks ago
• ssmisya / PRMBench
  [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
  ☆84Updated 9 months ago
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 11 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆133Updated 8 months ago
• kkk-an / UltraIF
  Code of EMNLP 2025 paper 'UltraIF: Advancing Instruction Following from the Wild'.
  ☆20Updated 8 months ago
• Raibows / CREAM
  Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.
  ☆27Updated 9 months ago
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆136Updated last month
• WANGXinyiLinda / planning_tokens
  Official code for Guiding Language Model Math Reasoning with Planning Tokens
  ☆18Updated last year
• RyanLiu112 / GenPRM
  [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".
  ☆91Updated last month
• hkust-nlp / RL-Verifier-Robustness
  From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.
  ☆23Updated 2 months ago
• F2-Song / ICDPO
  The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…
  ☆16Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆82Updated 10 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…
  ☆30Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆63Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• Zhou-Zoey / RMB-Reward-Model-Benchmark
  ☆46Updated 8 months ago
• KodCode-AI / code-r1
  Reproducing R1 for Code with Reliable Rewards
  ☆12Updated 8 months ago
• starrYYxuan / UniTE
  ☆16Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 2 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆67Updated last year