Topic: human-preferences Goto Github
Some thing interesting about human-preferences
Some thing interesting about human-preferences
human-preferences,Fine-tuning Language Models with Conditioning on Two Human Preferences
User: ezermoysis1
Home Page: https://drive.google.com/file/d/1-lac-XNLTj-8RI8X6_g2iqUPp0JDxfWo/view
human-preferences,A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.
User: glgh
human-preferences,Analyze a dataset of conversations from the Chatbot Arena, where various LLMs provide responses to user prompts. The goal is to develop a model that enhances chatbot interactions, ensuring they align more closely with human preferences.
User: lizhecheng02
Home Page: https://www.kaggle.com/competitions/lmsys-chatbot-arena
human-preferences,A Toolkit for Distributional Control of Generative Models
Organization: naver
Home Page: https://disco.naverlabs.com
human-preferences,SafeSora is a human preference dataset designed to support safety alignment research in the text-to-video generation field, aiming to enhance the helpfulness and harmlessness of Large Vision Models (LVMs).
Organization: pku-alignment
Home Page: https://sites.google.com/view/safe-sora
human-preferences,Fine-tuning LLMs using conditional training to learn two human preferences. UCL Module Project: Statistical Natural Language Processing (COMP0087).
User: sharrison00
Home Page: https://drive.google.com/file/d/1-lac-XNLTj-8RI8X6_g2iqUPp0JDxfWo/view
human-preferences,Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
User: stevekgyang
human-preferences,[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
Organization: thudm
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