CyberAgentAILab / filtered-dpoLinks
Introducing Filtered Direct Preference Optimization (fDPO) that enhances language model alignment with human preferences by discarding lower-quality samples compared to those generated by the learning model
☆15Updated 7 months ago
Alternatives and similar repositories for filtered-dpo
Users that are interested in filtered-dpo are comparing it to the libraries listed below
Sorting:
- ☆28Updated last year
- Self-Supervised Alignment with Mutual Information☆19Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 11 months ago
- Directional Preference Alignment☆57Updated 9 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 2 months ago
- [ACL 2023 Findings] What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning☆21Updated last year
- ☆11Updated last year
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective☆33Updated last year
- ☆14Updated last year
- ☆22Updated 6 months ago
- This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…☆23Updated 2 months ago
- Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning [ICML 2024]☆17Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 3 weeks ago
- [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training☆22Updated 10 months ago
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆32Updated last year
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆43Updated last year
- ☆19Updated last year
- ☆22Updated 2 years ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆26Updated last year
- ☆14Updated last year
- Implementation for the paper "Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning"☆10Updated 5 months ago
- ☆16Updated 11 months ago
- ☆13Updated 3 years ago
- Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs☆36Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆26Updated 6 months ago
- Teaching Models to Express Their Uncertainty in Words☆39Updated 3 years ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- The git repository of Modular Prompted Chatbot paper☆34Updated 2 years ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- ☆13Updated last year