4 papers
Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes
Yifan Jiang, Cong Zhang, Bofei Zhang +4
Despite progress on general tasks, vision-language models (VLMs) still struggle with challenges that demand both fine-grained visual grounding and external knowledge, a synergy ove…
MergePipe: A Budget-Aware Parameter Management System for Scalable LLM Merging
Yuanyi Wang, Yanggan Gu, Zihao Wang +6
Large language model (LLM) merging has become a key technique in modern LLM development pipelines, enabling the integration of multiple task- or domain-specific expert models witho…
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…
The Bias is in the Details: An Assessment of Cognitive Bias in LLMs
R. Alexander Knipper, Charles S. Knipper, Kaiqi Zhang +3
As Large Language Models (LLMs) are increasingly embedded in real-world decision-making processes, it becomes crucial to examine the extent to which they exhibit cognitive biases.…