93 citations · 98 across the 4 of their papers we have counts for
4 papers
MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension
Xingyu Lu, He Cao, Zijing Liu +5
Large language models are playing an increasingly significant role in molecular research, yet existing models often generate erroneous information, posing challenges to accurate mo…
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Tianhe Ren, Shilong Liu, Ailing Zeng +14
We introduce Grounded SAM, which uses Grounding DINO as an open-set object detector to combine with the segment anything model (SAM). This integration enables the detection and seg…
Leveraging Side Information for Ligand Conformation Generation using Diffusion-Based Approaches
Jiamin Wu, He Cao, Yuan Yao
Ligand molecule conformation generation is a critical challenge in drug discovery. Deep learning models have been developed to tackle this problem, particularly through the use of…
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu, Jianfeng Zhang, Tianyang Hu +3
Although deep neural networks achieve tremendous success on various classification tasks, the generalization ability drops sheer when training datasets exhibit long-tailed distribu…