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#Benchmark

AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process

Intermediate
Xintong Zhang, Xiaowen Zhang et al.Feb 2arXiv

AdaptMMBench is a new test that checks if AI models know when to just look and think, and when to use extra visual tools like zooming or brightening an image.

#Adaptive Multimodal Reasoning#Vision-Language Models#Tool Invocation

AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context

Intermediate
Lei Zhang, Yongda Yu et al.Jan 27arXiv

AACR-Bench is a new test set that checks how well AI can do code reviews using the whole project, not just one file.

#Automated Code Review#Benchmark#Repository-level Context

MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents

Intermediate
Peizhou Huang, Zixuan Zhong et al.Jan 18arXiv

This paper introduces MMDeepResearch-Bench (MMDR-Bench), a new test that checks how well AI “deep research agents” write long, citation-rich reports using both text and images.

#Multimodal Deep Research#Benchmark#Citation Grounding