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Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages


Aug 11, 2022
Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky

* Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021) 
* Revised edition to 4th Workshop on Technologies for MT of Low Resource Languages 

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Learning and Analyzing Generation Order for Undirected Sequence Models


Dec 16, 2021
Yichen Jiang, Mohit Bansal

* EMNLP 2021 Findings (12 pages) 

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Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks


Sep 30, 2021
Yichen Jiang, Mohit Bansal

* EMNLP 2021 (13 pages) 

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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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