mohit iyyer

publications

• LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
  Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, and Kyle Lo.
  EACL 2023
  

  bibtex

  @inproceedings{longeval23,
  author={Kalpesh Krishna and Erin Bransom and Bailey Kuehl and Mohit Iyyer and Pradeep Dasigi and Arman Cohan and Kyle Lo},
  booktitle = {European Chapter of the Association for Computational Linguistics},
  Year = "2023",
  Title={LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization},
  }
                      

• ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution
  Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, and Brendan O'Connor.
  Findings of EACL 2023
  

  bibtex

  @inproceedings{coref23,
  author={Ankita Gupta and Marzena Karpinska and Wenlong Zhao and Kalpesh Krishna and Jack Merullo and Luke Yeh and Mohit Iyyer and Brendan O'Connor},
  booktitle = {Findings of European Chapter of the Association for Computational Linguistics},
  Year = "2023",
  Title={ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution},
  }
                      

• RankGen: Improving Text Generation with Large Ranking Models
  Kalpesh Krishna, Yapei Chang, John Wieting, and Mohit Iyyer.
  EMNLP 2022
  

  code // bibtex

  @inproceedings{rankgen22,
  author={Kalpesh Krishna and Yapei Chang and John Wieting and Mohit Iyyer},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={RankGen: Improving Text Generation with Large Ranking Models},
  }
                      

• Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
  Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, and Noah Constant.
  EMNLP 2022
  

  code // bibtex

  @inproceedings{multilingual22,
  author={Tu Vu and Aditya Barua and Brian Lester and Daniel Cer and Mohit Iyyer and Noah Constant},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation},
  }
                      

• Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
  Katherine Thai*, Marzena Karpinska*, Kalpesh Krishna, William Ray, Moira Inghilleri, John Wieting, and Mohit Iyyer.
  EMNLP 2022
  

  data + code // bibtex

  @inproceedings{par22,
  author={Katherine Thai and Marzena Karpinska and Kalpesh Krishna and William Ray and Moira Inghilleri and John Wieting and Mohit Iyyer},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature},
  }
                      

• SLING: Sino Linguistic Evaluation of Large Language Models
  Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, and Mohit Iyyer.
  EMNLP 2022
  

  data + code // bibtex

  @inproceedings{sling22,
  author={Yixiao Song and Kalpesh Krishna and Rajesh Bhatt and Mohit Iyyer},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={SLING: Sino Linguistic Evaluation of Large Language Models},
  }
                      

• DEMETR: Diagnosing Evaluation Metrics for Translation
  Marzena Karpinska, Nishant Raj, Katherine Thai, Yixiao Song, Ankita Gupta, and Mohit Iyyer.
  EMNLP 2022
  

  data // bibtex

  @inproceedings{demetr22,
  author={Marzena Karpinska and Nishant Raj and Katherine Thai and Yixiao Song and Ankita Gupta and Mohit Iyyer},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={DEMETR: Diagnosing Evaluation Metrics for Translation},
  }
                      

• You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the KNN-LM
  Andrew Drozdov, Shufan Wang, Razieh Rahimi, Andrew McCallum, Hamed Zamani, and Mohit Iyyer.
  Findings of EMNLP 2022
  

  bibtex

  @inproceedings{knnlm22,
  author={Andrew Drozdov and Shufan Wang and Razieh Rahimi and Andrew McCallum and Hamed Zamani and Mohit Iyyer},
  booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2022",
  Title={You can't pick your neighbors, or can you? When and How to Rely on Retrieval in the KNN-LM},
  }
                      

• Modeling Exemplification in Long-form Question Answering via Retrieval
  Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, and Mohit Iyyer.
  NAACL 2022
  

  code // bibtex

  @inproceedings{lfqa22,
  author={Shufan Wang and Fangyuan Xu and Laure Thompson and Eunsol Choi and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2022",
  Title={Modeling Exemplification in Long-form Question Answering via Retrieval},
  }
                      

• ChapterBreak: A Challenge Dataset for Long-Range Language Models
  Simeng Sun, Katherine Thai, and Mohit Iyyer.
  NAACL 2022 (short)
  

  data + code // bibtex

  @inproceedings{chbrk22,
  author={Simeng Sun and Katherine Thai and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2022",
  Title={ChapterBreak: A Challenge Dataset for Long-Range Language Models},
  }
                      

• RELiC: Retrieving Evidence for Literary Claims
  Katherine Thai, Yapei Chang, Kalpesh Krishna, and Mohit Iyyer.
  ACL 2022
  

  project page (data + code + leaderboard) // bibtex

  @inproceedings{relic22,
  author={Katherine Thai and Yapei Chang and Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {Association of Computational Linguistics},
  Year = "2022",
  Title={RELiC: Retrieving Evidence for Literary Claims},
  }
                      

• How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?
  Simeng Sun, Brian Dillon, and Mohit Iyyer.
  Workshop on Insights from Negative Results in NLP @ ACL 2022
  

  bibtex

  @inproceedings{neg22,
  author={Simeng Sun and Brian Dillon and Mohit Iyyer},
  Booktitle = {Workshop on Insights from Negative Results in NLP @ ACL 2022},
  Year = "2022",
  Title={How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?},
  }
                      

• Do Long-Range Language Models Actually Use Long-Range Context?
  Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, and Mohit Iyyer.
  EMNLP 2021
  

  bibtex

  @inproceedings{long21,
  author={Simeng Sun and Kalpesh Krishna and Andrew Mattarella-Micke and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={Do Long-Range Language Models Actually Use Long-Range Context?},
  }
                      

• STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.
  Tu Vu, Minh-Thang Luong, Quoc Le, Grady Simon, and Mohit Iyyer.
  EMNLP 2021
  

  bibtex

  @inproceedings{strata21,
  author={Tu Vu and Minh-Thang Luong and Quoc Le and Grady Simon and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.},
  }
                      

• The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation.
  Marzena Karpinska, Nader Akoury, and Mohit Iyyer.
  EMNLP 2021
  

  bibtex

  @inproceedings{perils21,
  author={Marzena Karpinska and Nader Akoury and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation.},
  }
                      

• Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration.
  Shufan Wang, Laure Thompson, and Mohit Iyyer.
  EMNLP 2021
  

  code // bibtex

  @inproceedings{pb21,
  author={Shufan Wang and Laure Thompson and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration.},
  }
                      

• Improved Latent Tree Induction with Distant Supervision via Span Constraints.
  Zhiyang Xu, Andrew Drozdov, Jay Yoon Lee, Tim O'Gorman, Subendhu Rongali, Dylan Finkbeiner, Shilpa Suresh, Mohit Iyyer, and Andrew McCallum.
  EMNLP 2021
  

  code // bibtex

  @inproceedings{diora21,
  author={Zhiyang Xu and Andrew Drozdov and Jay Yoon Lee and Tim O'Gorman and Subendhu Rongali and Dylan Finkbeiner and Shilpa Suresh and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={Improved Latent Tree Induction with Distant Supervision via Span Constraints.},
  }
                      

• IGA: An Intent-Guided Authoring Assistant.
  Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, and Mohit Iyyer.
  EMNLP 2021
  

  bibtex

  @inproceedings{iga21,
  author={Simeng Sun and Wenlong Zhao and Varun Manjunatha and Rajiv Jain and Vlad Morariu and Franck Dernoncourt and Balaji Vasan Srinivasan and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2021",
  Title={IGA: An Intent-Guided Authoring Assistant.},
  }
                      

• Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.
  Sumanta Bhattacharyya, Pedram Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, and Andrew McCallum.
  ACL 2021
  

  bibtex

  @inproceedings{enmt21,
  author={Sumanta Bhattacharyya and Pedram Rooshenas and Subhajit Naskar and Simeng Sun and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Association for Computational Linguistics},
  Year = "2021",
  Title={Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.},
  }
                      

• Predicting In-Hospital Mortality by Combining Clinical Notes with Time-Series Data.
  Iman Deznabi, Mohit Iyyer, and Madalina Fiterau.
  Findings of ACL 2021 (short)
  

  bibtex

  @inproceedings{clinical21,
  author={Iman Deznabi and Mohit Iyyer and Madalina Fiterau},
  Booktitle = {Findings of the Association for Computational Linguistics},
  Year = "2021",
  Title={Predicting in-hospital mortality by combining clinical notes with time-series data},
  }
                      

• WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing.
  Amee Trivedi, Kate Silverstein, Emma Strubell, Mohit Iyyer, and Prashant Shenoy.
  ACM COMPASS 2021
  

  bibtex

  @inproceedings{wifimod21,
  author={Amee Trivedi and Kate Silverstein and Emma Strubell and Mohit Iyyer and Prashant Shenoy},
  Booktitle = {ACM COMPASS},
  Year = "2021",
  Title={WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing},
  }
                      

• Hurdles to Progress in Long-form Question Answering.
  Kalpesh Krishna, Aurko Roy, and Mohit Iyyer.
  NAACL 2021
  

  code // blog // bibtex

  @inproceedings{lfqa21,
  author={Kalpesh Krishna and Aurko Roy and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2021",
  Title={Hurdles to Progress in Long-form Question Answering},
  }
                      

• TABBIE: Pretrained Representations of Tabular Data.
  Hiroshi Iida, June Thai, Varun Manjunatha, and Mohit Iyyer.
  NAACL 2021
  

  code // bibtex

  @inproceedings{tabbie21,
  author={Hiroshi Iida and June Thai and Varun Manjunatha and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2021",
  Title={TABBIE: Pretrained Representations of Tabular Data},
  }
                      

• Revisiting Simple Neural Probabilistic Language Models.
  Simeng Sun and Mohit Iyyer.
  NAACL 2021 (short)
  

  code // bibtex

  @inproceedings{stupidlm21,
  author={Simeng Sun and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2021",
  Title={Revisiting Simple Neural Probabilistic Language Models},
  }
                      

• Changing the Mind of Transformers for Topically-Controllable Language Generation.
  Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, and Andrew McCallum.
  EACL 2021
  

  code // bibtex

  @inproceedings{eacl21,
  author={Haw-Shiuan Chang and Jiaming Yuan and Mohit Iyyer and Andrew McCallum},
  Booktitle = {European Chapter of the Association for Computational Linguistics},
  Year = "2021",
  Title={Changing the Mind of Transformers for Topically-Controllable Language Generation},
  }
                      

• Weakly-Supervised Open-Retrieval Conversational Question Answering.
  Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, and Mohit Iyyer.
  ECIR 2021
  

  bibtex

  @inproceedings{ecir20,
  author={Chen Qu and Liu Yang and Cen Chen and W. Bruce Croft and Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {European Conference on Information Retrieval},
  Year = "2021",
  Title={Weakly-Supervised Open-Retrieval Conversational Question Answering},
  }
                      

• Analyzing Gender Bias within Narrative Tropes.
  Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, and Mohit Iyyer.
  Workshop on NLP and CSS at EMNLP 2020
  

  data // bibtex

  @inproceedings{tropes20,
  author={Dhruvil Gala and Mohammad Omar Khursheed and Hannah Lerner and Brendan O'Connor and Mohit Iyyer},
  Booktitle = {Workshop on NLP and CSS at EMNLP},
  Year = "2020",
  Title={Analyzing Gender Bias within Narrative Tropes},
  }
                      

• Exploring and Predicting Transferability across NLP Tasks.
  Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, and Mohit Iyyer.
  EMNLP 2020
  

  code // bibtex

  @inproceedings{transfer20,
  author={Tu Vu and Tong Wang and Tsendsuren Munkhdalai and Alessandro Sordoni and Adam Trischler and Andrew Mattarella-Micke and Subhransu Maji and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Exploring and Predicting Transferability across NLP Tasks},
  }
                      

• Reformulating Unsupervised Style Transfer as Paraphrase Generation.
  Kalpesh Krishna, John Wieting, and Mohit Iyyer.
  EMNLP 2020
  

  project page (code + data + live demo) // bibtex

  @inproceedings{style20,
  author={Kalpesh Krishna and John Wieting and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Reformulating Unsupervised Style Transfer as Paraphrase Generation},
  }
                      

• STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation.
  Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, and Mohit Iyyer.
  EMNLP 2020
  

  project page (data + leaderboard) // bibtex

  @inproceedings{storium20,
  author={Nader Akoury and Shufan Wang and Josh Whiting and Stephen Hood and Nanyun Peng and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation},
  }
                      

• Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders.
  Andrew Drozdov, Subendhu Rongali, Yi-Pei Chen, Tim O'Gorman, Mohit Iyyer, and Andrew McCallum.
  EMNLP 2020
  

  bibtex

  @inproceedings{sdiora20,
  author={Andrew Drozdov and Subendhu Rongali and Yi-Pei Chen and Tim O'Gorman and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2020",
  Title={Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders},
  }
                      

• Hard-Coded Gaussian Attention for Neural Machine Translation.
  Weiqiu You*, Simeng Sun*, and Mohit Iyyer.
  ACL 2020
  

  code // bibtex

  @inproceedings{acl2020,
  Author = {Weiqiu You and Simeng Sun and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2020",
  Title = {Hard-Coded Gaussian Attention for Neural Machine Translation}
  }
                      

• Open-Retrieval Conversational Question Answering.
  Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, and Mohit Iyyer.
  SIGIR 2020
  

  bibtex

  @inproceedings{openconvqa,
  Author = {Chen Qu and Liu Yang and Cen Chen and Minghui Qiu and W. Bruce Croft and Mohit Iyyer},
  Booktitle = {43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  Year = "2020",
  Title = {Open-Retrieval Conversational Question Answering}
  }
                      

• Which Evaluations Uncover Sense Representations that Actually Make Sense?
  Fenfei Guo, Jordan Boyd-Graber, Mohit Iyyer, and Leah Findlater.
  LREC 2020
  

  bibtex

  @inproceedings{lrec2020,
  Author = {Fenfei Guo and Jordan Boyd-Graber and Mohit Iyyer and Leah Findlater},
  Booktitle = {Language Resources and Evaluation Conference},
  Year = "2020",
  Title = {Which Evaluations Uncover Sense Representations that Actually Make Sense?}
  }
                      

• Thieves on Sesame Street! Model Extraction of BERT-based APIs.
  Kalpesh Krishna, Gaurav Singh Tomar, Ankur Parikh, Nicolas Papernot, and Mohit Iyyer.
  ICLR 2020
  

  code // bibtex

  @inproceedings{thieves20,
  Author = {Kalpesh Krishna and Gaurav Singh Tomar and Ankur Parikh and Nicolas Papernot and Mohit Iyyer},
  Booktitle = {International Conference on Learning Representations},
  Year = "2020",
  Title = {Thieves on Sesame Street! Model Extraction of BERT-based APIs.}
  }
                      

• Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts.
  Jack Merullo*, Luke Yeh*, Abram Handler, Alvin Grissom II, Brendan O'Connor, and Mohit Iyyer.
  EMNLP 2019 (short)
  

  data + code // bibtex // press: The Undefeated

  @inproceedings{football2019,
  Author = {Jack Merullo and Luke Yeh and Abram Handler and Alvin Grissom II and Brendan O'Connor and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2019",
  Title = {Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts.}
  }
                      

• Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.
  Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, and Andrew McCallum.
  EMNLP 2019 (short)
  

  bibtex

  @inproceedings{diora2_2019,
  Author = {Andrew Drozdov and Patrick Verga and Yi-Pei Chen and Mohit Iyyer and Andrew McCallum},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2019",
  Title = {Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders}
  }
                      

• Attentive History Selection for Conversational Question Answering.
  Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, and Mohit Iyyer
  CIKM 2019
  

  bibtex

  @inproceedings{cikm2019,
  Author = {Chen Qu and Liu Yang and Minghui Qiu and Yongfeng Zhang and Cen Chen and W. Bruce Croft and Mohit Iyyer},
  Booktitle = {Conference on Information and Knowledge Management},
  Year = "2019",
  Title = {Attentive History Selection for Conversational Question Answering} 
                      

• Syntactically Supervised Transformers for Faster Neural Machine Translation.
  Nader Akoury, Kalpesh Krishna, and Mohit Iyyer.
  ACL 2019
  

  code + data // bibtex

  @inproceedings{synst2019,
  Author = {Nader Akoury and Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Syntactically Supervised Transformers for Faster Neural Machine Translation}
  }
                      

• Generating Question-Answer Hierarchies.
  Kalpesh Krishna and Mohit Iyyer.
  ACL 2019
  

  project page (code + data + live demo) // bibtex

  @inproceedings{squash2019,
  Author = {Kalpesh Krishna and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Generating Question-Answer Hierarchies}
  }
                      

• Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.
  Tu Vu and Mohit Iyyer.
  ACL 2019 (short)
  

  code // bibtex

  @inproceedings{paraemb2019,
  Author = {Tu Vu and Mohit Iyyer},
  Booktitle = {Association for Computational Linguistics},
  Year = "2019",
  Title = {Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification}
  }
                      

• Quizbowl: The Case for Incremental Question Answering.
  Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, and Jordan Boyd-Graber.
  arXiv 2019
  

  bibtex

  @inproceedings{QB2019,
  Author = {Pedro Rodriguez and Shi Feng and Mohit Iyyer and He He and Jordan Boyd-Graber},
  Booktitle = {arXiv},
  Year = "2019",
  Title = {Quizbowl: The Case for Incremental Question Answering}
  }
                      

• BERT with History Modeling for Conversational Question Answering.
  Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, and Mohit Iyyer.
  SIGIR 2019 (short)
  

  code // bibtex

  @inproceedings{ConvQA2019,
  Author = {Chen Qu and Liu Yang and Minghui Qiu and W. Bruce Croft and Yongfeng Zhang and Mohit Iyyer},
  Booktitle = {42nd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  Year = "2019",
  Title = {BERT with History Modeling for Conversational Question Answering}
  }
                      

• Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.
  Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum.
  NAACL 2019
  

  code // bibtex

  @inproceedings{DIORA2019,
  Author = {Andrew Drozdov and Patrick Verga and Mohit Yadav and Mohit Iyyer and Andrew McCallum},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2019",
  Title = {Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders}
  }
                      

• Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
  Shufan Wang, Mohit Iyyer
  NAACL 2019 (short)
  

  bibtex

  @inproceedings{Wang2019,
  Author = {Shufan Wang and Mohit Iyyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2019",
  Title = {Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism}
  }
                      

• QuAC: Question Answering in Context.
  Eunsol Choi*, He He*, Mohit Iyyer*, Mark Yatskar*, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer.
  EMNLP 2018
  

  project page // datasheet // bibtex

  @inproceedings{ChoiQuAC2018,
  Author = {Eunsol Choi and He He and Mohit Iyyer and Mark Yatskar and Wen-tau Yih and Yejin Choi and Percy Liang and Luke Zettlemoyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {QuAC: Question Answering in Context}
  }
                      

• Pathologies of Neural Models Make Interpretation Difficult.
  Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez and Jordan Boyd-Graber
  EMNLP 2018
  

  video // slides // bibtex // press: UMD

  @inproceedings{FengRAWR2018,
  Author = {Shi Feng and Eric Wallace and Alvin Grissom II and Mohit Iyyer and Pedro Rodriguez and Jordan Boyd-Graber},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {Pathologies of Neural Models Make Interpretation Difficult}
  }
                      

• Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.
  Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer
  EMNLP 2018 (short)
  

  code + data // video // bibtex

  @inproceedings{KrishnaRevisit2018,
  Author = {Kalpesh Krishna and Preethi Jyothi and Mohit Iyyer},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = "2018",
  Title = {Revisiting the Importance of Encoding Logic Rules in Sentiment Classification}
                      

• Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
  Mohit Iyyer*, John Wieting*, Kevin Gimpel, Luke Zettlemoyer.
  NAACL 2018
  

  code + data // video // bibtex

  @inproceedings{IyyerSCPN2018,
  Author = {Mohit Iyyer and John Wieting and Kevin Gimpel and Luke Zettlemoyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Adversarial Example Generation with Syntactically Controlled Paraphrase Networks}
  }
                      

• Deep Contextualized Word Representations.
  Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer.
  NAACL 2018 (best long paper)
  

  code // video // bibtex

  @inproceedings{PetersELMo2018,
  Author = {Matthew E. Peters and Mark Neumann and Mohit Iyyer and Matt Gardner and Christopher Clark and Kenton Lee and Luke Zettlemoyer},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Deep contextualized word representations}
  }
                      

• Learning to Color from Language.
  Varun Manjunatha*, Mohit Iyyer*, Jordan Boyd-Graber, Larry Davis.
  NAACL 2018 (short)
  

  code // bibtex

  @inproceedings{Manjunatha2018,
  Author = {Varun Manjunatha and Mohit Iyyer and Jordan Boyd-Graber and Larry Davis},
  Booktitle = {North American Association for Computational Linguistics},
  Year = "2018",
  Title = {Learning to Color from Language}
  }
                      

• Search-based Neural Structured Learning for Sequential Question Answering.
  Mohit Iyyer, Wen-tau Yih, and Ming-Wei Chang.
  ACL 2017
  

  code // data // bibtex // previous version

  @inproceedings{IyyerSQA2016,
  Author = {Mohit Iyyer and Wen-tau Yih and Ming-Wei Chang},
  Booktitle = {Association for Computational Linguistics},
  Year = "2017",
  Title = {Search-based Neural Structured Learning for Sequential Question Answering}
  }
                      

• The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.
  Mohit Iyyer*, Varun Manjunatha*, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, and Larry Davis.
  CVPR 2017 (spotlight)
  

  code + data // video // bibtex // press: mit tech review, digital trends

  @inproceedings{IyyerComics2016,
  Author = {Mohit Iyyer and Varun Manjunatha and Anupam Guha and Yogarshi Vyas and Jordan Boyd-Graber 
  and Hal {Daum\'{e} III} and Larry Davis},
  Booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
  Year = "2017",
  Title = {The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives}
  }
                      

• Unsupervised Learning of Evolving Relationships Between Literary Characters.
  Snigdha Chaturvedi, Mohit Iyyer, and Hal Daumé III.
  AAAI 2017
  

  bibtex

  @inproceedings{Chaturvedi:Iyyer:Daume-III-2016,
  Author = {Snigdha Chaturvedi and Mohit Iyyer and Hal {Daum\'{e} III}},
  Booktitle = {Association for the Advancement of Artificial Intelligence},
  Year = {2017},
  Title = {Unsupervised Learning of Evolving Relationships Between Literary Characters},
  }
                      

• Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.
  Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan Boyd-Graber, and Hal Daumé III.
  NAACL 2016 (best long paper)
  

  code + data // supplementary // slides // video // bibtex // press: aeon

  @inproceedings{Iyyer:Guha:Chaturvedi:Boyd-Graber:Daume-III-2016,
  Author = {Mohit Iyyer and Anupam Guha and Snigdha Chaturvedi and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  Booktitle = {North American Association for Computational Linguistics},
  Location = {San Diego, CA},
  Year = {2016},
  Title = {Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships},
  }
                      

• "A Distorted Skull Lies in the Bottom Center..." Identifying Paintings from Text Descriptions.
  Anupam Guha, Mohit Iyyer, and Jordan Boyd-Graber.
  NAACL Human-Computer QA Workshop, 2016
  

  data // bibtex

  @inproceedings{Guha:Iyyer:Boyd-Graber-2016,
  Author = {Anupam Guha and Mohit Iyyer and Jordan Boyd-Graber},
  Booktitle = {NAACL Human-Computer Question Answering Workshop},
  Location = {San Diego},
  Year = {2016},
  Title = {A Distorted Skull Lies in the Bottom Center: Identifying Paintings from Text Descriptions},
  }
                      

• Ask Me Anything: Dynamic Memory Networks for Natural Language Processing.
  Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher.
  ICML 2016
  

  bibtex

  @inproceedings{DMN2016,
  Author = {Ankit Kumar and Ozan Irsoy and Peter Ondruska and Mohit Iyyer and James Bradbury and Ishaan Gulrajani and Victor Zhong and Romain Paulus and Richard Socher}, 
  Booktitle = {International Conference on Machine Learning},
  Year = {2016}, 
  Title = {Ask Me Anything: Dynamic Memory Networks for Natural Language Processing},
  }
                      

• Interactive Incremental Question Answering.
  Jordan Boyd-Graber, Mohit Iyyer, He He, and Hal Daumé III.
  NIPS Demonstration Track, 2015 (outstanding demonstration)
  

  bibtex

  @inproceedings{Boyd-Graber:Iyyer:He:Daume-III-2015,
  Author = {Jordan Boyd-Graber and Mohit Iyyer and He He and Hal {Daum\'{e} III}},
  Booktitle = {Neural Information Processing Systems},
  Location = {Montreal, Canada},
  Year = {2015},
  Title = {Interactive Incremental Question Answering},
  }
                      

• Deep Unordered Composition Rivals Syntactic Methods for Text Classification.
  Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, and Hal Daumé III.
  ACL 2015
  

  code + data // slides // video // bibtex
  

  @inproceedings{Iyyer:Manjunatha:Boyd-Graber:III}-2015,
  Title = {Deep Unordered Composition Rivals Syntactic Methods for Text Classification},
  Booktitle = {Association for Computational Linguistics},
  Author = {Mohit Iyyer and Varun Manjunatha and Jordan Boyd-Graber and Hal {Daum\'{e} III}},
  Year = {2015},
  Location = {Beijing, China}
  }
                      

• Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.
  Anupam Guha, Mohit Iyyer, Danny Bouman, and Jordan Boyd-Graber.
  NAACL 2015
  

  code + data // bibtex

  @inproceedings{Guha:Iyyer:Bouman:Boyd-Graber-2015,
  Title = {Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.},
  Author = {Anupam Guha and Mohit Iyyer and Danny Bouman and Jordan Boyd-Graber},
  Booktitle = {North American Association for Computational Linguistics},
  Year = {2015},
  Location = {Denver, Colorado}
  }
                  

• Generating Sentences from Semantic Vector Space Representations.
  Mohit Iyyer, Jordan Boyd-Graber, and Hal Daumé III.
  NIPS Workshop on Learning Semantics, 2014
  

  bibtex

  @inproceedings{Iyyer:Boyd-Graber:Daume-2014,
  Title = {Generating Sentences from Semantic Vector Space Representations},
  Author = {Mohit Iyyer and Jordan Boyd-Graber and Hal {Daum\'e III}},
  Booktitle = {NIPS Workshop on Learning Semantics},
  Year = {2014},
  Location = {Montreal, Canada}
  }
                  

• A Neural Network for Factoid Question Answering over Paragraphs.
  Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé III.
  EMNLP 2014
  

  code + data // bibtex // press: umiacs, terp, diamondback, colorado cs

  @inproceedings{Iyyer:Boyd-Graber:Claudino:Socher:Daume-2014,
  Title = {A Neural Network for Factoid Question Answering over Paragraphs},
  Author = {Mohit Iyyer and Jordan Boyd-Graber and Leonardo Claudino and Richard Socher and Hal {Daum\'e III}},
  Booktitle = {Empirical Methods in Natural Language Processing},
  Year = {2014},
  Location = {Doha, Qatar},
  }
                  

• Political Ideology Detection Using Recursive Neural Networks.
  Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik.
  ACL 2014
  

  data // bibtex

  @inproceedings{Iyyer:Enns:Boyd-Graber:Resnik-2014,
  Title = {Political Ideology Detection Using Recursive Neural Networks},
  Author = {Mohit Iyyer and Peter Enns and Jordan Boyd-Graber and Philip Resnik},
  Booktitle = {Association for Computational Linguistics},
  Year = {2014},
  Location = {Baltimore, Maryland},
  }