works on

From the 1 of 11 linked papers with an AI index.

activity
20242026
collaborators

11 papers

cs.AI2026

Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution

Lewei Xu, Yihao Ding, Zihan Xu +5

Multi-page visually-rich document understanding (MP-VRDU) requires managing evidence that is sparse, spread across pages, and often exceeds a model's context window. Prior work has…

cs.AI2026

LongMedBench: Benchmarking Medical Agents for Long-Horizon Clinical Decision-Making

Zihan Xu, Yanzhen Chen, Xiaocheng Zhang +4

The paper presents LongMedBench, a benchmark built from MIMIC-IV electronic health records that evaluates medical agents on long-horizon clinical decision-making across multiple vi…

cs.LG2026

X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

Jie Huang, Pengfei Yin, Zihan Xu +3

Foundation Models for Electronic Health Records (FEMRs) are pretrained on large-scale structured patient data, enabling them to convert longitudinal patient trajectories into gener…

cs.LG2026

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth

Zihan Xu, Puzhen Wu, Lawrence Chun Man Lau +4

Document parsing is a foundational step for document understanding tasks such as visual question answering and key information extraction, as it transforms unstructured scanned ima…

cs.CL2026

Curation and Extraction of Drug-Related Entities from Reddit Platform

Zewei Wang, Zihan Xu, Yishu Wei +2

Physicians learn primarily about illicit drugs from clinical overdose cases, limiting their understanding of real-world usage. Meanwhile, drug users share first-hand experiences on…

cs.CV2026

Establishing dermatopathology encyclopedia DermpathNet with Artificial Intelligence-Based Workflow

Ziyang Xu, Mingquan Lin, Yiliang Zhou +6

Accessing high-quality, open-access dermatopathology image datasets for learning and cross-referencing is a common challenge for clinicians and dermatopathology trainees. To establ…