Fuzzy Inference Guided Multimodal QA Framework Proposed
A new paper published on arXiv, identified as arXiv:2608.14584, introduces a fuzzy-inference-guided multimodal question answering (MQA) framework. This innovative approach seeks to tackle issues of modality bias, uncertainty, and superficial semantic matching, drawing inspiration from traditional fuzzy systems. By integrating text, images, and speech, the framework aims to enhance both the depth of reasoning and the interpretability of responses.
Key facts
- Paper ID: arXiv:2608.14584
- Published on arXiv
- Proposes a fuzzy-inference-guided multimodal QA framework
- Addresses modality bias, uncertainty, and shallow semantic matching
- Inspired by traditional fuzzy systems
- Targets multimodal question answering (MQA)
- Integrates text, images, and speech
- Aims to improve reasoning depth and interpretability
Entities
Institutions
- arXiv