sail-sg / CPOLinks
[NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
☆128Updated 6 months ago
Alternatives and similar repositories for CPO
Users that are interested in CPO are comparing it to the libraries listed below
Sorting:
- ☆67Updated 3 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆171Updated 4 months ago
- ☆207Updated 6 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 11 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 8 months ago
- ☆50Updated 11 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆164Updated 6 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆62Updated 2 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 9 months ago
- ☆211Updated 7 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆109Updated last month
- Model merging is a highly efficient approach for long-to-short reasoning.☆83Updated 4 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆56Updated 10 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆186Updated 8 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆256Updated 4 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆111Updated 4 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 9 months ago
- Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…☆142Updated last year
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆82Updated 6 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆114Updated 9 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆68Updated 11 months ago
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆130Updated 5 months ago
- Critique-out-Loud Reward Models☆70Updated 11 months ago
- ☆69Updated last year
- Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆81Updated 3 months ago
- ☆67Updated 5 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆111Updated 8 months ago
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆151Updated 11 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆69Updated 5 months ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆107Updated last month