LongChang
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- LongChang tests whether LLMs can discover altered physical laws
A paper by Zhen Yang, Wen Wang, Xander Xu, and Ying-Cong Chen introduces LongChang, an automated framework for simulated worlds where one or more physical laws differ from ordinary physics. LLM agents explore these environments and design experiments without research-task hints, while separate agents generate scenes, review tools, and assess reports. Among 12 evaluated models, GPT-6-Astra achieved a 16.7% discovery rate, while the other 11 scored 0%.
Hugging Face · Papers · 🔥 0
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