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.

393 Stars
10 Forks
393 Watchers
apache-2.0 License
100 SrcLog Score
Cost to Build
$80.2K
Market Value
$264.1K

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3 data points  ·  2026-04-11 → 2026-04-26
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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.

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