yinyueqin / relative-preference-optimization
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts
☆24Updated last year
Alternatives and similar repositories for relative-preference-optimization
Users that are interested in relative-preference-optimization 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
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆29Updated 7 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated last month
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆34Updated 2 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
- Code for "A Sober Look at Progress in Language Model Reasoning" paper☆45Updated this week
- A Survey on the Honesty of Large Language Models☆57Updated 5 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆43Updated 6 months ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆50Updated last year
- Rewarded soups official implementation☆57Updated last year
- ☆45Updated 6 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆58Updated 4 months ago
- GenRM-CoT: Data release for verification rationales☆59Updated 7 months ago
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆40Updated 7 months ago
- Directional Preference Alignment☆57Updated 7 months ago
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆16Updated 4 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆34Updated this week
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆40Updated last month
- ☆67Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆61Updated 5 months ago
- ☆40Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆57Updated 6 months ago
- Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment☆69Updated last year
- What Makes a Reward Model a Good Teacher? An Optimization Perspective☆28Updated last month
- Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.☆22Updated 2 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆57Updated last year
- ☆13Updated 10 months ago
- Mosaic IT: Enhancing Instruction Tuning with Data Mosaics☆18Updated 3 months ago
- ☆59Updated 8 months ago