Alternatives and similar repositories for Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning

Users that are interested in Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning are comparing it to the libraries listed below

• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 10 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆154Updated 4 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆141Updated 5 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆65Updated 3 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆112Updated 3 months ago
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆63Updated 8 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆109Updated 7 months ago
• jwhj / OREO
  ☆114Updated 5 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated last year
• limenlp / verl
  AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
  ☆38Updated last month
• McGill-NLP / VinePPO
  Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"
  ☆166Updated last month
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆82Updated last month
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆75Updated 3 weeks ago
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆83Updated 10 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆108Updated 5 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…
  ☆33Updated 9 months ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆58Updated last year
• lmarena / PPE
  ☆48Updated 2 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆137Updated last week
• ltzheng / SimpleTIR
  End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
  ☆113Updated this week
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆100Updated last month
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆60Updated 7 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆98Updated 4 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆102Updated 2 months ago
• thu-wyz / inference_scaling
  ☆72Updated 7 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆55Updated last year
• sail-sg / VeriFree
  Reinforcing General Reasoning without Verifiers
  ☆71Updated 3 weeks ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 3 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated 9 months ago
• architsharma97 / dpo-rlaif
  ☆98Updated last year