most citedAstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

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cs.CV2026

VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents

Zhengbo Zhang, Jinbo Su, Zhaowen Zhou +14

The rapid advancement of Multimodal Large Language Models (MLLMs) has enabled browsing agents to acquire and reason over multimodal information in the real world. But existing benc…

cs.CV2025

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…