Mohit Iyyer

According to our database, Mohit Iyyer authored at least 86 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

GEE! Grammar Error Explanation with Large Language Models.

Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer

CoRR, 2023

Multistage Collaborative Knowledge Distillation from Large Language Models.

Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md. Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum

CoRR, 2023

TopicGPT: A Prompt-based Topic Modeling Framework.

Chau Minh Pham, Alexander Miserlis Hoyle, Simeng Sun, Mohit Iyyer

CoRR, 2023

PaRaDe: Passage Ranking using Demonstrations with Large Language Models.

Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui

CoRR, 2023

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation.

Tu Vu, Mohit Iyyer, Xuezhi Wang, Noah Constant, Jerry W. Wei, Jason Wei, Chris Tar, Yun-Hsuan Sung, Denny Zhou, Quoc V. Le, Thang Luong

CoRR, 2023

BooookScore: A systematic exploration of book-length summarization in the era of LLMs.

Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer

CoRR, 2023

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF.

Simeng Sun, Dhawal Gupta, Mohit Iyyer

CoRR, 2023

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.

Simeng Sun, Yang Liu, Shuohang Wang, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

On the Risks of Stealing the Decoding Algorithms of Language Models.

Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr

CoRR, 2023

How Does In-Context Learning Help Prompt Tuning?

Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer

CoRR, 2023

Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist.

Marzena Karpinska, Mohit Iyyer

Proceedings of the Eighth Conference on Machine Translation, 2023

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.

Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

kNN-LM Does Not Improve Open-ended Text Generation.

Shufan Wang, Yixiao Song, Andrew Drozdov, Aparna Garimella, Varun Manjunatha, Mohit Iyyer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PaRaDe: Passage Ranking using Demonstrations with LLMs.

Andrew Drozdov, Honglei Zhuang, Zhuyun Dai, Zhen Qin, Razieh Rahimi, Xuanhui Wang, Dana Alon, Mohit Iyyer, Andrew McCallum, Donald Metzler, Kai Hui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games.

Nader Akoury, Qian Yang, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.

Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.

Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Stealing the Decoding Algorithms of Language Models.

Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

A Critical Evaluation of Evaluations for Long-form Question Answering.

Fangyuan Xu, Yixiao Song, Mohit Iyyer, Eunsol Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Modeling Exemplification in Long-form Question Answering via Retrieval.

Shufan Wang, Fangyuan Xu, Laure Thompson, Eunsol Choi, Mohit Iyyer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ChapterBreak: A Challenge Dataset for Long-Range Language Models.

Simeng Sun, Katherine Thai, Mohit Iyyer

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation.

Tu Vu, Aditya Barua, Brian Lester, Daniel Cer, Mohit Iyyer, Noah Constant

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.

Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SLING: Sino Linguistic Evaluation of Large Language Models.

Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RankGen: Improving Text Generation with Large Ranking Models.

Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DEMETR: Diagnosing Evaluation Metrics for Translation.

Marzena Karpinska, Nishant Raj, Katherine Thai, Yixiao Song, Ankita Gupta, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

RELiC: Retrieving Evidence for Literary Claims.

Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?

Simeng Sun, Brian Dillon, Mohit Iyyer

Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021

Revisiting Simple Neural Probabilistic Language Models.

Simeng Sun, Mohit Iyyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Hurdles to Progress in Long-form Question Answering.

Kalpesh Krishna, Aurko Roy, Mohit Iyyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TABBIE: Pretrained Representations of Tabular Data.

Hiroshi Iida, Dung Thai, Varun Manjunatha, Mohit Iyyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration.

Shufan Wang, Laure Thompson, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning.

Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

IGA: An Intent-Guided Authoring Assistant.

Simeng Sun, Wenlong Zhao, Varun Manjunatha, Rajiv Jain, Vlad I. Morariu, Franck Dernoncourt, Balaji Vasan Srinivasan, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Long-Range Language Models Actually Use Long-Range Context?

Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation.

Marzena Karpinska, Nader Akoury, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering.

Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer

Proceedings of the Advances in Information Retrieval, 2021

Changing the Mind of Transformers for Topically-Controllable Language Generation.

Haw-Shiuan Chang, Jiaming Yuan, Mohit Iyyer, Andrew McCallum

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing.

Amee Trivedi, Kate Silverstein, Emma Strubell, Prashant J. Shenoy, Mohit Iyyer

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Predicting in-hospital mortality by combining clinical notes with time-series data.

Iman Deznabi, Mohit Iyyer, Madalina Fiterau

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.

Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer, Andrew McCallum

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Analyzing Gender Bias within Narrative Tropes.

Dhruvil Gala, Mohammad Omar Khursheed, Hannah Lerner, Brendan O'Connor, Mohit Iyyer

CoRR, 2020

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models.

Subhajit Naskar, Amirmohammad Rooshenas, Simeng Sun, Mohit Iyyer, Andrew McCallum

CoRR, 2020

Open-Retrieval Conversational Question Answering.

Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Which Evaluations Uncover Sense Representations that Actually Make Sense?

Jordan L. Boyd-Graber, Fenfei Guo, Leah Findlater, Mohit Iyyer

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Thieves on Sesame Street! Model Extraction of BERT-based APIs.

Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer

Proceedings of the 8th International Conference on Learning Representations, 2020

Exploring and Predicting Transferability across NLP Tasks.

Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation.

Kalpesh Krishna, John Wieting, Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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, Andrew McCallum

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation.

Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng, Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hard-Coded Gaussian Attention for Neural Machine Translation.

Weiqiu You, Simeng Sun, Mohit Iyyer

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Quizbowl: The Case for Incremental Question Answering.

Pedro Rodriguez, Shi Feng, Mohit Iyyer, He He, Jordan L. Boyd-Graber

CoRR, 2019

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders.

Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum

CoRR, 2019

BERT with History Answer Embedding for Conversational Question Answering.

Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism.

Shufan Wang, Mohit Iyyer

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders.

Andrew Drozdov, Patrick Verga, Mohit Yadav, Mohit Iyyer, Andrew McCallum

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts.

Jack Merullo, Luke Yeh, Abram Handler, Alvin Grissom II, Brendan O'Connor, Mohit Iyyer

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders.

Andrew Drozdov, Patrick Verga, Yi-Pei Chen, Mohit Iyyer, Andrew McCallum

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Attentive History Selection for Conversational Question Answering.

Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification.

Tu Vu, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Generating Question-Answer Hierarchies.

Kalpesh Krishna, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Syntactically Supervised Transformers for Faster Neural Machine Translation.

Nader Akoury, Kalpesh Krishna, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Inducing and Embedding Senses with Scaled Gumbel Softmax.

Fenfei Guo, Mohit Iyyer, Jordan L. Boyd-Graber

CoRR, 2018

Right Answer for the Wrong Reason: Discovery and Mitigation.

Shi Feng, Eric Wallace, Mohit Iyyer, Pedro Rodriguez, Alvin Grissom II, Jordan L. Boyd-Graber

CoRR, 2018

Deep Contextualized Word Representations.

Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning to Color from Language.

Varun Manjunatha, Mohit Iyyer, Jordan L. Boyd-Graber, Larry S. Davis

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.

Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Pathologies of Neural Models Make Interpretation Difficult.

Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

QuAC: Question Answering in Context.

Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Discourse-Level Language Understanding with Deep Learning.

Mohit Iyyer

PhD thesis, 2017

The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives.

Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Search-based Neural Structured Learning for Sequential Question Answering.

Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Unsupervised Learning of Evolving Relationships Between Literary Characters.

Snigdha Chaturvedi, Mohit Iyyer, Hal Daumé III

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Answering Complicated Question Intents Expressed in Decomposed Question Sequences.

Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang

CoRR, 2016

Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships.

Mohit Iyyer, Anupam Guha, Snigdha Chaturvedi, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the NAACL HLT 2016, 2016

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, Richard Socher

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers.

Anupam Guha, Mohit Iyyer, Danny Bouman, Jordan L. Boyd-Graber

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Deep Unordered Composition Rivals Syntactic Methods for Text Classification.

Mohit Iyyer, Varun Manjunatha, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

A Neural Network for Factoid Question Answering over Paragraphs.

Mohit Iyyer, Jordan L. Boyd-Graber, Leonardo Max Batista Claudino, Richard Socher, Hal Daumé III

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Political Ideology Detection Using Recursive Neural Networks.

Mohit Iyyer, Peter Enns, Jordan L. Boyd-Graber, Philip Resnik

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014