liziniu / policy_optimization
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
☆24Updated last year
Alternatives and similar repositories for policy_optimization:
Users that are interested in policy_optimization are comparing it to the libraries listed below
- Rewarded soups official implementation☆55Updated last year
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆40Updated last year
- Domain-specific preference (DSP) data and customized RM fine-tuning.☆24Updated 10 months ago
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆15Updated 3 weeks ago
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆64Updated 5 months ago
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆20Updated last month
- ☆34Updated 11 months ago
- Directional Preference Alignment☆54Updated 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…☆22Updated 4 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆49Updated 7 months ago
- ☆30Updated 11 months ago
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆55Updated last month
- Self-Supervised Alignment with Mutual Information☆16Updated 8 months ago
- GenRM-CoT: Data release for verification rationales☆45Updated 3 months ago
- An index of algorithms for reinforcement learning from human feedback (rlhf))☆91Updated 9 months ago
- Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Feedback (ICML 2024) by Alex J. Chan, Hao Sun, Samuel Holt…☆22Updated 5 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆39Updated 3 months ago
- Dateset Reset Policy Optimization☆28Updated 9 months ago
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆49Updated 7 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆42Updated 6 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆44Updated 2 months ago
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 4 months ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆41Updated 6 months ago
- Preprint: Asymmetry in Low-Rank Adapters of Foundation Models☆31Updated 11 months ago
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆20Updated last month
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆33Updated 5 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆24Updated 10 months ago
- ☆27Updated 2 months ago
- Lightweight Adapting for Black-Box Large Language Models☆19Updated 11 months ago