WindyLee0822 / Process_Q_ModelLinks
official implementation of paper "Process Reward Model with Q-value Rankings"
☆59Updated 3 months ago
Alternatives and similar repositories for Process_Q_Model
Users that are interested in Process_Q_Model are comparing it to the libraries listed below
Sorting:
- Critique-out-Loud Reward Models☆66Updated 7 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆149Updated 2 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 6 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆35Updated 3 weeks ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆102Updated 4 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆98Updated 3 weeks ago
- ☆113Updated 4 months ago
- Revisiting Mid-training in the Era of RL Scaling☆48Updated last month
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆64Updated last month
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆59Updated 5 months ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆70Updated 2 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆31Updated 8 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆155Updated 2 weeks ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆94Updated 2 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 5 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆121Updated 2 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆55Updated 3 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆54Updated 6 months ago
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"☆151Updated last month
- B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners☆82Updated last week
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆93Updated this week
- The official repository of the Omni-MATH benchmark.☆83Updated 5 months ago
- A version of verl to support tool use☆41Updated this week
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- ☆45Updated 7 months ago
- ☆32Updated 3 months ago
- This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…☆35Updated last month
- ☆173Updated this week
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 7 months ago