Papers with BQA
BQA: Body Language Question Answering Dataset for Video Large Language Models (2025.acl-short)
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| Challenge: | a large part of human communication relies on nonverbal cues such as facial expressions, eye contact, and body language. |
| Approach: | They propose to validate whether video large language models can correctly interpret body language from short clips of body language. |
| Outcome: | The proposed model can correctly interpret emotions from short clips of body language. |
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering (2022.coling-1)
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Jianguo Mao, Jiyuan Zhang, Zengfeng Zeng, Weihua Peng, Wenbin Jiang, Xiangdong Wang, Hong Liu, Yajuan Lyu
| Challenge: | Existing models of biomedical question answering are limited in their ability to predict answers . a new model improves the performance of existing models, but the code will be released after the paper is published. |
| Approach: | They propose a hierarchical representation-based dynamic reasoning network to solve biomedical problems. |
| Outcome: | The proposed model significantly improves on three mainstream biomedical datasets . the code will be released after the paper is published . |