Kwai-Klear / RLEPLinks
RL with Experience Replay
☆55Updated 6 months ago
Alternatives and similar repositories for RLEP
Users that are interested in RLEP are comparing it to the libraries listed below
Sorting:
- A Sober Look at Language Model Reasoning☆92Updated 2 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆75Updated 6 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆182Updated 6 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 10 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆74Updated 9 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆70Updated 6 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 4 months ago
- ☆47Updated 10 months ago
- ☆352Updated 6 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆158Updated 7 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 9 months ago
- NeurIPS 2025: Discriminative Constrained Optimization for Reinforcing Large Reasoning Models☆50Updated last week
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆39Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆98Updated 3 months ago
- Resources for the Enigmata Project.☆77Updated 5 months ago
- [ICLR2026] Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆62Updated 8 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆132Updated 9 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆160Updated 3 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- ☆55Updated 8 months ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆63Updated 7 months ago
- ☆219Updated 8 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆50Updated last year
- ☆145Updated 4 months ago
- A repo for open research on building large reasoning models☆136Updated last week
- ☆46Updated 4 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆168Updated 10 months ago
- ☆72Updated 8 months ago