2 citations · 3 across the 15 of their papers we have counts for
4 papers · 1 filter
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
Sihang Zhao, Youliang Yuan, Xiaoying Tang +1
Multimodal Large Language Models (MLLMs) demonstrate a strong understanding of the real world and can even handle complex tasks. However, they still fail on some straightforward vi…
Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs
Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan +4
This paper explores the problem of commonsense level vision-knowledge conflict in Multimodal Large Language Models (MLLMs), where visual information contradicts model's internal co…
An Empirical Study on Package-Level Deprecation in Python Ecosystem
Zhiqing Zhong, Shilin He, Haoxuan Wang +3
Open-source software (OSS) plays a crucial role in modern software development. Utilizing OSS code can greatly accelerate software development, reduce redundancy, and enhance relia…
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang +5
This study addresses a critical gap in safety tuning practices for Large Language Models (LLMs) by identifying and tackling a refusal position bias within safety tuning data, which…