AI Can Learn Scientific Taste
Scientific discovery depends on expert judgement and foresight, which we call scientific taste: the ability to judge and propose research ideas with the potential for long-term scientific impact. Scientific taste is largely concentrated among highly experienced researchers, whose expertise is usually limited to a few specialised fields. If AI could learn scientific taste, it could reduce reliance on human experts and accelerate scientific discovery. Whether AI can learn this ability remains an open question. We introduce Reinforcement Learning from Community Feedback (RLCF) to learn judgement and ideation. Scientific Judge learns from community feedback, such as citations. Scientific Thin...
| Authors | Jingqi Tong, Mingzhe Li, Hangcheng Li et al. |
|---|---|
| Primary category | cs.CL |
| Published | 15 March 2026 |
| Last updated at source | 19 August 2026 |
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- OpenMOSS-Team/SciJudge-30B-2605Model · cited by
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