activity
20242026
most citedSafety challenges of AI in medicine in the era of large language models

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities

Ziwen Xie, Shaowen Xiang, Hongyu He +1

Off-policy evaluation estimates how a target policy would perform using data collected by a different behavior policy, which is crucial when online testing is costly or risky, such…

cs.CE2026

Navigating heterogeneous protein landscapes through geometry-aware smoothing

Srinivas Anumasa, Barath Chandran, Tingting Chen +15

The evolutionary fitness landscape of biological molecules is extremely sparse and heterogeneous, with functional sequences forming isolated dense ``islands'' within a vast combina…

cs.CY2026

AI-generated data contamination erodes pathological variability and diagnostic reliability

Hongyu He, Shaowen Xiang, Ye Zhang +15

Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content, creating a feedback loop where future models are increasingly at risk of train…

cs.CL2025

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds

Tingting Chen, Beibei Lin, Zifeng Yuan +5

Many scientific problems are underdetermined: multiple distinct hypotheses are equally consistent with the same observations. In such settings, effective inference requires not onl…

cs.CY2024★ 3 cited

Safety challenges of AI in medicine in the era of large language models

Xiaoye Wang, Nicole Xi Zhang, Hongyu He +9

Recent advancements in artificial intelligence (AI), particularly in large language models (LLMs), have unlocked significant potential to enhance the quality and efficiency of medi…