most citedSciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

14 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild

Xi Fang, Jiankun Wang, Xiaochen Cai +7

In recent decades, chemistry publications and patents have increased rapidly. A significant portion of key information is embedded in molecular structure figures, complicating larg…

physics.comp-ph2024★ 1 cited

Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts

Fanjie Xu, Wentao Guo, Feng Wang +8

The study of structure-spectrum relationships is essential for spectral interpretation, impacting structural elucidation and material design. Predicting spectra from molecular stru…

cs.CL2024★ 5 cited

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer

Hengxing Cai, Xiaochen Cai, Shuwen Yang +14

In scientific research and its application, scientific literature analysis is crucial as it allows researchers to build on the work of others. However, the fast growth of scientifi…

cs.CL2024★ 14 cited

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

Hengxing Cai, Xiaochen Cai, Junhan Chang +20

Recent breakthroughs in Large Language Models (LLMs) have revolutionized scientific literature analysis. However, existing benchmarks fail to adequately evaluate the proficiency of…

cond-mat.mtrl-sci2023

Single-image based deep learning for precise atomic defects identification

Kangshu Li, Xiaocang Han, Yanhui Hong +11

Defect engineering has been profoundly employed to confer desirable functionality to materials that pristine lattices inherently lack. Although single atomic-resolution scanning tr…