Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL

Yichen Jiang | Asli Celikyilmaz | Paul Smolensky | Paul Soulos | Sudha Rao | Hamid Palangi | Roland Fernandez | Caitlin Smith | Mohit Bansal | Jianfeng Gao |

Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks EMNLP

Yichen Jiang | Mohit Bansal |

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages MTSummit

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 |

Learning and Analyzing Generation Order for Undirected Sequence Models EMNLP Findings

Yichen Jiang | Mohit Bansal |

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

Yichen Jiang | Shikha Bordia | Zheng Zhong | Charles Dognin | Maneesh Singh | Mohit Bansal |

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning EMNLP

Yichen Jiang | Mohit Bansal |

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

Yichen Jiang | Nitish Joshi | Yen-Chun Chen | Mohit Bansal |

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

Yichen Jiang | Mohit Bansal |

Closed-Book Training to Improve Summarization Encoder Memory EMNLP

Yichen Jiang | Mohit Bansal |