WeiXiongUST / Building-Math-Agents-with-Multi-Turn-Iterative-Preference-LearningLinks
This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DPO and KTO.
☆29Updated 9 months ago
Alternatives and similar repositories for Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning
Users that are interested in Building-Math-Agents-with-Multi-Turn-Iterative-Preference-Learning are comparing it to the libraries listed below
Sorting:
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated last year
- 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 11 months ago
- Directional Preference Alignment☆59Updated 11 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆113Updated 9 months ago
- GenRM-CoT: Data release for verification rationales☆65Updated 10 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆147Updated 7 months ago
- A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models☆63Updated 6 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆162Updated 6 months ago
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆66Updated 5 months ago
- ☆116Updated 7 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"☆61Updated 7 months ago
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆189Updated 4 months ago
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆169Updated 3 months ago
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆58Updated last year
- This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…☆35Updated 2 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆118Updated 5 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 9 months ago
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆30Updated last year
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆57Updated 10 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆113Updated 7 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 4 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆45Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆110Updated 4 months ago
- ☆150Updated 9 months ago
- ☆74Updated 9 months ago
- Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)☆193Updated last year
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆86Updated last year
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆104Updated last month
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 3 months ago
- ☆68Updated last year