Papers › Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer...

Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown

21 Jun 2025arXiv:2506.17589archive 2025-07-28

Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu, Shotaro Miwa, Tianwei Chen, Yuta Nakashima

The real value of knowledge lies not just in its accumulation, but in its potential to be harnessed effectively to conquer the unknown. Although recent multimodal large language models (MLLMs) exhibit impressing multimodal capabilities, they often fail in rarely encountered domain-specific tasks due to limited relevant knowledge. To explore this, we adopt visual game cognition as a testbed and select Monster Hunter: World as the target to construct a multimodal knowledge graph (MH-MMKG), which incorporates multi-modalities and intricate entity relations. We also design a series of challenging queries based on MH-MMKG to evaluate the models' ability for complex knowledge retrieval and reasoning. Furthermore, we propose a multi-agent retriever that enables a model to autonomously search relevant knowledge without additional training. Experimental results show that our approach significantly enhances the performance of MLLMs, providing a new perspective on multimodal knowledge-augmented reasoning and laying a solid foundation for future research.

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KnowledgeSearch wbw520/MH-MMKG/things/graph_search.py found in paper text by Syntology ran no licence file found · pointer only · aa232bbc680c8e5f · report
entity_info_construction wbw520/MH-MMKG/things/graph_search.py found in paper text by Syntology ran · our draft was wrong no licence file found · pointer only · a53c3119b68fb97d · report
relation_info_construction wbw520/MH-MMKG/things/graph_search.py found in paper text by Syntology ran · our draft was wrong no licence file found · pointer only · d069fd214299de48 · report
route_aggregation wbw520/MH-MMKG/things/graph_search.py found in paper text by Syntology ran · our draft was wrong no licence file found · pointer only · 364fcd2520fe7e09 · report

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