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Can LLMs Uncover Hidden Physical Laws through Free Exploration?

Paper recorded by Signals 4 on 2026-10-27 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.AI · 人工智能 · first seen 2026-10-28

Abstract

Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) notice unexpected behavior, such as heavier objects falling more slowly, and discover the law through experiments without being told what to investigate? To evaluate this ability, we introduce LongChang, an automated framewor

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#105 most recent of 940 cs.AI papers we have recorded · ↑ newer: KPPax: preprocess differentiable kinetic ODE for machine learning in a · ↓ older: MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control
Cite this page: Can LLMs Uncover Hidden Physical Laws through Free Exploration?: the #105 most recent of 940 cs.AI papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-llms-uncover-hidden-physical-laws-through-free-exploration.html
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