3 papers
cs.CV2025
ColLab: A Collaborative Spatial Progressive Data Engine for Referring Expression Comprehension and Generation
Shilan Zhang, Jirui Huang, Ruilin Yao +4
Referring Expression Comprehension (REC) and Referring Expression Generation (REG) are fundamental tasks in multimodal understanding, supporting precise object localization through…
cs.CV2025
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Peng Xu, Shengwu Xiong, Jiajun Zhang +125
This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…
cs.CL2025
Aligning MLLM Benchmark With Human Preferences via Structural Equation Modeling
Shengwu. Xiong, Tianyu. Zou, Cong. Wang +1
Evaluating multimodal large language models (MLLMs) is fundamentally challenged by the absence of structured, interpretable, and theoretically grounded benchmarks; current heuristi…