3 citations · 5 across the 3 of their papers we have counts for
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cs.LG2026
HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery
Yingzi Ma, Yulong Cao, Nanxi Li +5
Scientific discovery with language models requires finding the best valid solution within a finite computational budget. We study how feedback from this search can improve the proc…
cs.LG2025★ 2 cited
L^2M^3OF: A Large Language Multimodal Model for Metal-Organic Frameworks
Jiyu Cui, Fang Wu, Haokai Zhao +4
Large language models have demonstrated remarkable reasoning capabilities across diverse natural language tasks. However, comparable breakthroughs in scientific discovery are more…
cs.LG2025★ 3 cited
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
Yize Jiang, Xinze Li, Yuanyuan Zhang +13
Existing protein-ligand docking studies typically focus on the self-docking scenario, which is less practical in real applications. Moreover, some studies involve heavy frameworks…