6 papers
LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models
Ruilin Yao, Bo Zhang, Jirui Huang +18
Multimodal Large Language Models (MLLMs) have achieved significant advances in integrating visual and linguistic information, yet their ability to reason about complex and real-wor…
LAMM-ViT: AI Face Detection via Layer-Aware Modulation of Region-Guided Attention
Jiangling Zhang, Weijie Zhu, Jirui Huang +1
Detecting AI-synthetic faces presents a critical challenge: it is hard to capture consistent structural relationships between facial regions across diverse generation techniques. C…
Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
Jiangling Zhang, Shuxuan Gao, Bofan Liu +4
The proliferation of highly realistic AI-generated images poses critical challenges for digital forensics, demanding precise pixel-level localization of manipulated regions. Existi…
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…
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…
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…