Kwai-Klear / RLEPLinks
RL with Experience Replay
☆46Updated 2 months ago
Alternatives and similar repositories for RLEP
Users that are interested in RLEP are comparing it to the libraries listed below
Sorting:
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆69Updated 2 months ago
- A Sober Look at Language Model Reasoning☆83Updated last week
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆176Updated 2 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…☆56Updated 3 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…☆37Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆120Updated 6 months ago
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated last year
- ☆62Updated 4 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆62Updated 2 months ago
- The code and data for the paper JiuZhang3.0☆49Updated last year
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆110Updated last month
- From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning.☆23Updated this week
- ☆43Updated 2 weeks ago
- ☆18Updated 5 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
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆101Updated 2 months ago
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆54Updated 4 months ago
- The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink…☆83Updated 3 weeks ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 9 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆114Updated 5 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆104Updated 6 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆62Updated 10 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆129Updated 6 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- GenRM-CoT: Data release for verification rationales☆65Updated 11 months ago
- ☆98Updated last month
- TreeRL: LLM Reinforcement Learning with On-Policy Tree Search in ACL'25☆68Updated 3 months ago
- Codes for Merging Large Language Models☆33Updated last year
- instruction-following benchmark for large reasoning models☆42Updated 2 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆23Updated 9 months ago