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Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization


Jun 02, 2021
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao

* NAACL 2021 (14 pages) 

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HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification


Nov 16, 2020
Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal

* Findings of EMNLP 2020 (20 pages) 

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Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning


Sep 12, 2019
Yichen Jiang, Mohit Bansal

* 11 pages (EMNLP 2019) 

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Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA


Jun 17, 2019
Yichen Jiang, Mohit Bansal

* ACL 2019 (11 pages) 

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Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension


Jun 12, 2019
Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal

* ACL 2019 (12 pages) 

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Closed-Book Training to Improve Summarization Encoder Memory


Sep 12, 2018
Yichen Jiang, Mohit Bansal

* EMNLP 2018 (16 pages) 

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