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20242026
most citedMulti-Task Fine-Tuning Enables Robust Out-of-Distribution Generalization in Atomistic Models

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cs.LG2025

The OpenLAM Challenges

Anyang Peng, Xinzijian Liu, Ming-Yu Guo +2

Inspired by the success of Large Language Models (LLMs), the development of Large Atom Models (LAMs) has gained significant momentum in scientific computation. Since 2022, the Deep…