activity
20242026
most citedFocus Directions Make Your Language Models Pay More Attention to Relevant Contexts

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Beyond Scalar Scores: Exploring LLM-based Metrics for Clinical Significance Evaluation in Radiology Reports

Qingyu Lu, Ruochen Li, Liang Ding +3

Reliable evaluation of generated radiology reports requires strict clinical accuracy, as omitted critical findings or mischaracterized radiographic observations can directly affect…

cs.CL2026

SurgGoal: Rethinking Surgical Planning Evaluation via Goal-Satisfiability

Ruochen Li, Kun Yuan, Yufei Xia +5

Surgical planning integrates visual perception, long-horizon reasoning, and procedural knowledge, yet it remains unclear whether current evaluation protocols reliably assess vision…

cs.CL2025

ReEvalMed: Rethinking Medical Report Evaluation by Aligning Metrics with Real-World Clinical Judgment

Ruochen Li, Jun Li, Bailiang Jian +2

Automatically generated radiology reports often receive high scores from existing evaluation metrics but fail to earn clinicians' trust. This gap reveals fundamental flaws in how c…

cs.CL2025★ 1 cited

Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts

Youxiang Zhu, Ruochen Li, Danqing Wang +2

Long-context large language models (LLMs) are prone to be distracted by irrelevant contexts. The reason for distraction remains poorly understood. In this paper, we first identify…

eess.IV2025

TimeFlow: Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis

Bailiang Jian, Jiazhen Pan, Yitong Li +5

Longitudinal brain analysis is essential for understanding healthy aging and identifying pathological deviations. Longitudinal registration of sequential brain MRI underpins such a…

eess.IV2024

Classification, Regression and Segmentation directly from k-Space in Cardiac MRI

Ruochen Li, Jiazhen Pan, Youxiang Zhu +2

Cardiac Magnetic Resonance Imaging (CMR) is the gold standard for diagnosing cardiovascular diseases. Clinical diagnoses predominantly rely on magnitude-only Digital Imaging and Co…