Alternatives and similar repositories for Token-level-Direct-Preference-Optimization

Users that are interested in Token-level-Direct-Preference-Optimization are comparing it to the libraries listed below

• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆83Updated 10 months ago
• liziniu / ReMax
  Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
  ☆188Updated last year
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆55Updated last year
• PKU-Alignment / aligner
  [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
  ☆178Updated 5 months ago
• PRIME-RL / Entropy-Mechanism-of-RL
  The Entropy Mechanism of Reinforcement Learning for Large Language Model Reasoning.
  ☆237Updated 2 weeks ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆154Updated 4 months ago
• GAIR-NLP / LIMR
  ☆205Updated 4 months ago
• hahahawu / Long-to-Short-via-Model-Merging
  Model merging is a highly efficient approach for long-to-short reasoning.
  ☆71Updated last month
• kanishkg / cognitive-behaviors
  ☆199Updated 3 months ago
• thu-ml / Noise-Contrastive-Alignment
  Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)
  ☆54Updated 8 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated 10 months ago
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆63Updated 8 months ago
• WooooDyy / MathCritique
  Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".
  ☆55Updated 7 months ago
• tongyx361 / Awesome-LLM4Math
  Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…
  ☆132Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆63Updated 6 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆60Updated 7 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆80Updated 6 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆124Updated 3 months ago
• FreedomIntelligence / OVM
  ☆67Updated last year
• sanowl / Self-Correcting-LLM--Reinforcement-Learning-
  This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…
  ☆35Updated this week
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆109Updated 7 months ago
• thu-wyz / inference_scaling
  ☆72Updated 7 months ago
• YuxiXie / MCTS-DPO
  This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.
  ☆318Updated 11 months ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆146Updated 8 months ago
• WooooDyy / LLM-Reverse-Curriculum-RL
  Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…
  ☆106Updated last year
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆55Updated 2 weeks ago
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆165Updated last month
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆67Updated 2 months ago
• yyDing1 / ScaleQuest
  [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆63Updated 8 months ago
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆98Updated 4 months ago