activity
20242026
collaborators

10 papers

cs.CV2026

HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language Models

Yangguang Lin, Quan Fang, Yufei Li +3

Object hallucination in Large Vision-Language Models (LVLMs) significantly hinders their reliable deployment. Existing methods struggle to balance efficiency and accuracy: they oft…

cs.AI2026

GUITester: Enabling GUI Agents for Exploratory Defect Discovery

Yifei Gao, Jiang Wu, Xiaoyi Chen +5

Exploratory GUI testing is essential for software quality but suffers from high manual costs. While Multi-modal Large Language Model (MLLM) agents excel in navigation, they fail to…

cs.AI2025

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis

Yifei Gao, Junhong Ye, Jiaqi Wang +1

Recent advancements in large language models (LLMs) have significantly improved the capabilities of web agents. However, effectively navigating complex and dynamic web environments…

cs.CV2025

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models

Jiaming Zhang, Xin Wang, Xingjun Ma +3

Vision-Language Models (VLMs) such as CLIP have demonstrated remarkable capabilities in understanding relationships between visual and textual data through joint embedding spaces.…

cs.CL2025

Mind with Eyes: from Language Reasoning to Multimodal Reasoning

Zhiyu Lin, Yifei Gao, Xian Zhao +2

Language models have recently advanced into the realm of reasoning, yet it is through multimodal reasoning that we can fully unlock the potential to achieve more comprehensive, hum…

cs.CV2025

Debiased Prompt Tuning in Vision-Language Model without Annotations

Chaoquan Jiang, Yunfan Yang, Rui Hu +1

Prompt tuning of Vision-Language Models (VLMs) such as CLIP, has demonstrated the ability to rapidly adapt to various downstream tasks. However, recent studies indicate that tuned…