collaborators

13 papers

cs.HC2026

MolecularCanvas: LLM-assisted Small-Molecule Drug Discovery via Structure-Guided Constraints

Haoyu Dong, Rui Sheng, Shuhao Zhang +7

Small-molecule drug discovery relies on iterative molecular optimization, where chemists repeatedly modify candidate compounds to balance multiple competing properties such as effi…

cs.AI2026

Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants

Zijian Xu, Wenshuo Zhang, Zisen Qin +4

The paper defines personalized ambiguity adaptation for coding assistants, introduces the CAPA benchmark to evaluate how well models use a user's past resolved sessions to handle r…

cs.CV2026

Navigating the Mirage: A Dual-Path Agentic Framework for Robust Misleading Chart Question Answering

Yanjie Zhang, Yafei Li, Rui Sheng +5

The paper introduces ChartCynics, a dual‑path system that separates visual perception and data verification to detect misleading information in charts, using a skeptical reasoning…

cs.HC2026

Design Patterns of Human-AI Interfaces in Healthcare

Rui Sheng, Chuhan Shi, Sobhan Lotfi +4

Human-AI interfaces play a pivotal role in integrating clinicians' expertise with artificial intelligence to enhance both healthcare practice and research. However, designing effec…

cs.CL2026

VeriLLMed: Interactive Visual Debugging of Medical Large Language Models with Knowledge Graphs

Yurui Xiang, Xingyi Mao, Rui Sheng +7

Large language models (LLMs) show promise in medical diagnosis, but real-world deployment remains challenging due to high-stakes clinical decisions and imperfect reasoning reliabil…

cs.HC2026

InconLens: Interactive Visual Diagnosis of Behavioral Inconsistencies in LLM-based Agentic Systems

Shuo Yan, Xiaolin Wen, Shaolun Ruan +5

Large Language Model (LLM)-based agentic systems have shown growing promise in tackling complex, multi-step tasks through autonomous planning, reasoning, and interaction with exter…