作者位次 #7/10ACL 2026Findings· Findings of ACL
Seek-and-Solve: Benchmarking MLLM s for Visual Clue-Driven Reasoning in Daily Scenarios
Xiaomin Li · Tala Wang · Zichen Zhong · Ying Zhang · Zirui Zheng · Takashi Isobe · Dezhuang Li · Huchuan Lu · You He · XU JIA
摘要
Daily scenarios are characterized by visual richness, requiring Multimodal Large Language Models (MLLMs) to filter noise and identify decisive visual clues for accurate reasoning. Yet, current benchmarks predominantly aim at evaluating MLLMs’ pre-existing knowledge or perceptual understanding, of...