glgh/awesome-llm-human-preference-datasets

A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.

Size: 11.7 KB - Last synced: 7 days ago - Pushed: 8 months ago - Stars: 258 - Forks: 11

SteveKGYang/MetaAligner

Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

Language: Python - Size: 54.7 MB - Last synced: 10 days ago - Pushed: 10 days ago - Stars: 5 - Forks: 0

THUDM/ImageReward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

Language: Python - Size: 4.16 MB - Last synced: 15 days ago - Pushed: 8 months ago - Stars: 960 - Forks: 51

naver/disco

A Toolkit for Distributional Control of Generative Models

Language: Python - Size: 92.8 KB - Last synced: about 1 month ago - Pushed: 9 months ago - Stars: 67 - Forks: 4

SHarrison00/finetuning_llms_with_conditioning

Fine-tuning LLMs using conditional training to learn two human preferences. UCL Module Project: Statistical Natural Language Processing (COMP0087).

Language: Python - Size: 989 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

ezermoysis1/finetuning-llms-with-conditioning

Fine-tuning Language Models with Conditioning on Two Human Preferences

Language: Python - Size: 37.7 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

wx-b/B_Pref Fork of pokaxpoka/B_Pref

Language: Python - Size: 17.3 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0