SIMONLQY / RethinkMCTSLinks
☆31Updated last year
Alternatives and similar repositories for RethinkMCTS
Users that are interested in RethinkMCTS are comparing it to the libraries listed below
Sorting:
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆39Updated 2 years ago
- ☆34Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆65Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 9 months ago
- ☆103Updated 2 years ago
- ☆53Updated last year
- GenRM-CoT: Data release for verification rationales☆68Updated last year
- Directional Preference Alignment☆58Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆124Updated last year
- e☆43Updated 9 months ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆120Updated last week
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆87Updated 10 months ago
- The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]☆96Updated 10 months ago
- Official code implementation for the ACL 2025 paper: 'Dynamic Scaling of Unit Tests for Code Reward Modeling'☆27Updated 8 months ago
- On Memorization of Large Language Models in Logical Reasoning☆74Updated 10 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)☆50Updated 2 years ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆28Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆113Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)☆159Updated last year
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆48Updated 2 years ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆53Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆51Updated 8 months ago
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆115Updated 2 years ago
- StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback☆74Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆129Updated last year
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆29Updated last year
- ☆41Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆50Updated last year