WebQA: Multihop and Multimodal QA

Author:

Chang Yingshan1,Cao Guihong2,Narang Mridu2,Gao Jianfeng3,Suzuki Hisami2,Bisk Yonatan1

Affiliation:

1. Carnegie Mellon University

2. Microsoft, Bing Search

3. Microsoft Research

Publisher

IEEE

Reference38 articles.

1. Unified Vision-Language Pre-Training for Image Captioning and VQA

2. An empirical study of gpt-3 for few-shot knowledge-based vqa;yang;ArXiv Preprint,2021

3. Recipeqa: A challenge dataset for multi-modal comprehension of cooking recipes;yagcioglu;Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing,0

4. Constructing Datasets for Multi-hop Reading Comprehension Across Documents

5. MovieQA: Understanding Stories in Movies through Question-Answering

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2. Multimodal Information Retrieval;Synthesis Lectures on Computer Vision;2024-06-26

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4. MulmQA: Multimodal Question Answering for Database Alarm;2024 5th Information Communication Technologies Conference (ICTC);2024-05-10

5. Prompt-Enhanced Generation for Multimodal Open Question Answering;Electronics;2024-04-10

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