YangLing0818 / SuperCorrect-llmLinks
[ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
☆70Updated 2 months ago
Alternatives and similar repositories for SuperCorrect-llm
Users that are interested in SuperCorrect-llm are comparing it to the libraries listed below
Sorting:
- ☆105Updated 2 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆121Updated 2 months ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆102Updated 4 months ago
- ☆107Updated last week
- official implementation of paper "Process Reward Model with Q-value Rankings"☆59Updated 3 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆98Updated 3 weeks ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆73Updated 2 weeks ago
- Repo of paper "Free Process Rewards without Process Labels"☆149Updated 2 months ago
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"☆151Updated last month
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 6 months ago
- A Sober Look at Language Model Reasoning☆52Updated this week
- General Reasoner: Advancing LLM Reasoning Across All Domains☆117Updated this week
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆61Updated 5 months ago
- ☆89Updated this week
- xVerify: Efficient Answer Verifier for Reasoning Model Evaluations☆106Updated last month
- Large Language Models Can Self-Improve in Long-context Reasoning☆69Updated 6 months ago
- ☆173Updated 2 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆93Updated this week
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆55Updated 3 months ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆94Updated 2 months ago
- TokenSkip: Controllable Chain-of-Thought Compression in LLMs☆145Updated 2 months ago
- [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
- A version of verl to support tool use☆41Updated this 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…☆31Updated 8 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆35Updated 3 weeks ago
- The official repository of the Omni-MATH benchmark.☆83Updated 5 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆213Updated 2 weeks ago
- CoT-Valve: Length-Compressible Chain-of-Thought Tuning☆69Updated 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
- ☆127Updated 3 weeks ago