alecwangcq / f-divergence-dpo
Direct preference optimization with f-divergences.
☆13Updated 6 months ago
Alternatives and similar repositories for f-divergence-dpo
Users that are interested in f-divergence-dpo are comparing it to the libraries listed below
Sorting:
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆76Updated 8 months ago
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆69Updated 4 months ago
- Rewarded soups official implementation☆57Updated last year
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆16Updated 4 months ago
- Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".☆22Updated 6 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆167Updated 3 weeks ago
- A repo for RLHF training and BoN over LLMs, with support for reward model ensembles.☆43Updated 4 months ago
- Official code for paper Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation☆20Updated last year
- ☆36Updated last month
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆28Updated last year
- ☆40Updated last year
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆138Updated 3 months ago
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆36Updated 9 months ago
- GenRM-CoT: Data release for verification rationales☆59Updated 7 months ago
- [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents☆35Updated last year
- ☆18Updated last year
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆25Updated 5 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…☆35Updated last month
- ☆30Updated 6 months ago
- ☆24Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆43Updated 6 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆40Updated last month
- ☆67Updated last year
- An index of algorithms for reinforcement learning from human feedback (rlhf))☆92Updated last year
- SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters (ICLR 2025)☆12Updated last month
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆54Updated 11 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆34Updated this week
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆99Updated last year
- [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization☆25Updated 3 months ago