Papers by Boyu Jia
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models (2025.findings-emnlp)
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| Challenge: | MLLMs have achieved significant breakthroughs in understanding across text and vision, but current models still face inconsistencies in reasoning outcomes. |
| Approach: | They propose to evaluate multimodal large language models using a multimodal knowledge reasoning dataset to examine the extent of consistency degradation. |
| Outcome: | The proposed evaluation tasks show that MLLMs are inefficient at integrating knowledge across modalities . |