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20232026
most citedAn Empirical Analysis of Uncertainty in Large Language Model Evaluations

1 citations · 3 across the 16 of their papers we have counts for

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9 papers · 1 filter

cs.MA2025

How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity

Zihan Ma, Dongsheng Zhu, Shudong Liu +6

Current safety evaluations for LLM-driven agents primarily focus on atomic harms, failing to address sophisticated threats where malicious intent is concealed or diluted within com…

eess.IV2025

Advancing Lung Disease Diagnosis in 3D CT Scans

Qingqiu Li, Runtian Yuan, Junlin Hou +4

To enable more accurate diagnosis of lung disease in chest CT scans, we propose a straightforward yet effective model. Firstly, we analyze the characteristics of 3D CT scans and re…

eess.IV2025

Multi-Source COVID-19 Detection via Variance Risk Extrapolation

Runtian Yuan, Qingqiu Li, Junlin Hou +4

We present our solution for the Multi-Source COVID-19 Detection Challenge, which aims to classify chest CT scans into COVID and Non-COVID categories across data collected from four…

cs.AI2025

CorBenchX: Large-Scale Chest X-Ray Error Dataset and Vision-Language Model Benchmark for Report Error Correction

Jing Zou, Qingqiu Li, Chenyu Lian +4

AI-driven models have shown great promise in detecting errors in radiology reports, yet the field lacks a unified benchmark for rigorous evaluation of error detection and further c…

cs.CV2025

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Qingqiu Li, Zihang Cui, Seongsu Bae +8

Chest X-rays (CXRs) are the most frequently performed imaging examinations in clinical settings. Recent advancements in Large Multimodal Models (LMMs) have enabled automated CXR in…

cs.CV2025

EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos

Jilan Xu, Yifei Huang, Baoqi Pei +6

Generating videos in the first-person perspective has broad application prospects in the field of augmented reality and embodied intelligence. In this work, we explore the cross-vi…

cs.CV2025

UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation

Yehui Shen, Lei Zhang, Qingqiu Li +4

Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environ…

cs.CL2025★ 1 cited

An Empirical Analysis of Uncertainty in Large Language Model Evaluations

Qiujie Xie, Qingqiu Li, Zhuohao Yu +3

As LLM-as-a-Judge emerges as a new paradigm for assessing large language models (LLMs), concerns have been raised regarding the alignment, bias, and stability of LLM evaluators. Wh…

cs.CV2025

Text-Promptable Propagation for Referring Medical Image Sequence Segmentation

Runtian Yuan, Mohan Chen, Jilan Xu +6

Referring Medical Image Sequence Segmentation (Ref-MISS) is a novel and challenging task that aims to segment anatomical structures in medical image sequences (\emph{e.g.} endoscop…