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cs.AI2026
Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates
Renhao Zhong, Zihan Zhou, Chiyuan Ma +1
Reconstructing physical fields from training samples that are always incomplete requires learning spatial structure from fragmented observations. Existing context--query work estab…
cs.AI2024
Boosting Protein Language Models with Negative Sample Mining
Yaoyao Xu, Xinjian Zhao, Xiaozhuang Song +2
We introduce a pioneering methodology for boosting large language models in the domain of protein representation learning. Our primary contribution lies in the refinement process f…