Web: http://arxiv.org/abs/2209.09513

Sept. 21, 2022, 1:14 a.m. | Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

cs.CL updates on arXiv.org arxiv.org

When answering a question, humans utilize the information available across
different modalities to synthesize a consistent and complete chain of thought
(CoT). This process is normally a black box in the case of deep learning models
like large-scale language models. Recently, science question benchmarks have
been used to diagnose the multi-hop reasoning ability and interpretability of
an AI system. However, existing datasets fail to provide annotations for the
answers, or are restricted to the textual-only modality, small scales, and
limited …

arxiv learn multimodal question answering reasoning science

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