AI-Can-Learn-Scientific-Taste

AI-Can-Learn-Scientific-Taste

tongjingqi

We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem.

389 Stars
10 Forks
389 Watchers
apache-2.0 License
100 SrcLog Score
Cost to Build
$77.9K
Market Value
$307.4K

Growth over time

1 data points  ·  2026-04-11 → 2026-04-11
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about AI-Can-Learn-Scientific-Taste

Question copied to clipboard

What is the tongjingqi/AI-Can-Learn-Scientific-Taste GitHub project? Description: "We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preference modeling and alignment problem.". Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone AI-Can-Learn-Scientific-Taste

Clone via HTTPS

git clone https://github.com/tongjingqi/AI-Can-Learn-Scientific-Taste.git

Clone via SSH

[email protected]:tongjingqi/AI-Can-Learn-Scientific-Taste.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the AI-Can-Learn-Scientific-Taste issue tracker:

Open GitHub Issues