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20232026
most citedSciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis

14 citations · 29 across the 19 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

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…

eess.IV2024★ 1 cited

A Landmark-aware Network for Automated Cobb Angle Estimation Using X-ray Images

Jie Yang, Jiankun Wang, Max Q. -H. Meng

Automated Cobb angle estimation based on X-ray images plays an important role in scoliosis diagnosis, treatment, and progression surveillance. The inadequate feature extraction and…

cs.AI2024★ 1 cited

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models

Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal +7

Alzheimer's disease (AD) is the fifth-leading cause of death among Americans aged 65 and older. Screening and early detection of AD and related dementias (ADRD) are critical for ti…

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…

cs.CV2024

Exploring Diffusion Time-steps for Unsupervised Representation Learning

Zhongqi Yue, Jiankun Wang, Qianru Sun +3

Representation learning is all about discovering the hidden modular attributes that generate the data faithfully. We explore the potential of Denoising Diffusion Probabilistic Mode…