most citedLLM Sensitivity Evaluation Framework for Clinical Diagnosis

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Anchored Policy Optimization: Mitigating Exploration Collapse Via Support-Constrained Rectification

Tianyi Wang, Long Li, Hongcan Guo +5

Reinforcement Learning with Verifiable Rewards (RLVR) is increasingly viewed as a tree pruning mechanism. However, we identify a systemic pathology termed Recursive Space Contracti…

cs.CV2025

FlexSelect: Flexible Token Selection for Efficient Long Video Understanding

Yunzhu Zhang, Yu Lu, Tianyi Wang +3

Long-form video understanding poses a significant challenge for video large language models (VideoLLMs) due to prohibitively high computational and memory demands. In this paper, w…

cs.CL20251 cited

LLM Sensitivity Evaluation Framework for Clinical Diagnosis

Chenwei Yan, Xiangling Fu, Yuxuan Xiong +4

Large language models (LLMs) have demonstrated impressive performance across various domains. However, for clinical diagnosis, higher expectations are required for LLM's reliabilit…

cs.CV2025

From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment

Yucheng Suo, Fan Ma, Linchao Zhu +3

Multi-modal Large language models (MLLMs) show remarkable ability in video understanding. Nevertheless, understanding long videos remains challenging as the models can only process…

cs.CV2025

HarmonySet: A Comprehensive Dataset for Understanding Video-Music Semantic Alignment and Temporal Synchronization

Zitang Zhou, Ke Mei, Yu Lu +2

This paper introduces HarmonySet, a comprehensive dataset designed to advance video-music understanding. HarmonySet consists of 48,328 diverse video-music pairs, annotated with det…