collaborators

10 papers

cs.AI2026

CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation

Yunfan Yang, Cuiling Lan, Jitao Sang +1

Tables contain rich structured information, yet when stored as images their contents remain "locked" within pixels. Converting table images into LaTeX code enables faithful digitiz…

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.CV2026

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.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.LG2025

AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models

Jiaming Zhang, Junhong Ye, Xingjun Ma +5

Due to their multimodal capabilities, Vision-Language Models (VLMs) have found numerous impactful applications in real-world scenarios. However, recent studies have revealed that V…