holarissun / RewardModelingBeyondBradleyTerry
official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and Alternatives
☆50Updated 2 weeks ago
Alternatives and similar repositories for RewardModelingBeyondBradleyTerry:
Users that are interested in RewardModelingBeyondBradleyTerry are comparing it to the libraries listed below
- Code for "Reasoning to Learn from Latent Thoughts"☆89Updated 2 weeks ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆133Updated 2 months ago
- Directional Preference Alignment☆56Updated 6 months ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆72Updated 7 months ago
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆25Updated 4 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…☆27Updated 6 months ago
- ☆39Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 7 months ago
- Rewarded soups official implementation☆58Updated last year
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆32Updated last month
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆43Updated 8 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆51Updated 5 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 5 months ago
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆25Updated last year
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆22Updated last week
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆58Updated 4 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆42Updated 5 months ago
- ☆30Updated 7 months ago
- The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…☆41Updated 3 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆58Updated last month
- official implementation of paper "Process Reward Model with Q-value Rankings"☆54Updated 2 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆54Updated 10 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆57Updated 4 months ago
- ☆50Updated 2 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆28Updated 11 months ago
- This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…☆33Updated 2 weeks ago
- ☆30Updated 5 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆43Updated last year
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆38Updated 6 months ago