Political Ideology Detection Using Recursive Neural Networks. - Mohit Iyyer; Peter Enns; Jordan L. Boyd-Graber; Philip Resnik (ACL (1), 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 (EMNLP, 2014)

Deep Unordered Composition Rivals Syntactic Methods for Text Classification. - Mohit Iyyer; Varun Manjunatha; Jordan L. Boyd-Graber; Hal Daumé III (ACL (1), 2015)

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

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury 002; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (ICML, 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 (HLT-NAACL, 2016)

Answering Complicated Question Intents Expressed in Decomposed Question Sequences. - Mohit Iyyer; Wen-tau Yih; Ming-Wei Chang (CoRR, 2016)

Unsupervised Learning of Evolving Relationships Between Literary Characters. - Snigdha Chaturvedi; Mohit Iyyer; Hal Daumé III (AAAI, 2017)

Search-based Neural Structured Learning for Sequential Question Answering. - Mohit Iyyer; Wen-tau Yih; Ming-Wei Chang (ACL (1), 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 (CVPR, 2017)

Discourse-Level Language Understanding with Deep Learning. - Mohit Iyyer (2017)

QuAC: Question Answering in Context. - Eunsol Choi; He He 001; Mohit Iyyer; Mark Yatskar; Wen-tau Yih; Yejin Choi 001; Percy Liang; Luke Zettlemoyer (EMNLP, 2018)

Pathologies of Neural Models Make Interpretation Difficult. - Shi Feng 005; Eric Wallace; Alvin Grissom II; Mohit Iyyer; Pedro Rodriguez 001; Jordan L. Boyd-Graber (EMNLP, 2018)

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

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. - Mohit Iyyer; John Wieting; Kevin Gimpel; Luke Zettlemoyer (NAACL-HLT, 2018)

Learning to Color from Language. - Varun Manjunatha; Mohit Iyyer; Jordan L. Boyd-Graber; Larry S. Davis (NAACL-HLT (2), 2018)

Deep Contextualized Word Representations. - Matthew E. Peters; Mark Neumann; Mohit Iyyer; Matt Gardner 001; Christopher Clark; Kenton Lee; Luke Zettlemoyer (NAACL-HLT, 2018)

Right Answer for the Wrong Reason: Discovery and Mitigation. - Shi Feng 005; Eric Wallace; Mohit Iyyer; Pedro Rodriguez 001; Alvin Grissom II; Jordan L. Boyd-Graber (CoRR, 2018)

Inducing and Embedding Senses with Scaled Gumbel Softmax. - Fenfei Guo; Mohit Iyyer; Jordan L. Boyd-Graber (CoRR, 2018)

Syntactically Supervised Transformers for Faster Neural Machine Translation. - Nader Akoury; Kalpesh Krishna; Mohit Iyyer (ACL (1), 2019)

Generating Question-Answer Hierarchies. - Kalpesh Krishna; Mohit Iyyer (ACL (1), 2019)

Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification. - Tu Vu; Mohit Iyyer (ACL (1), 2019)

Attentive History Selection for Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Minghui Qiu; Yongfeng Zhang; Cen Chen 001; W. Bruce Croft; Mohit Iyyer (CIKM, 2019)

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Yi-Pei Chen 001; Mohit Iyyer; Andrew McCallum (EMNLP/IJCNLP (1), 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 001; Mohit Iyyer (EMNLP/IJCNLP (1), 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (NAACL-HLT (1), 2019)

Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism. - Shufan Wang; Mohit Iyyer (NAACL-HLT (1), 2019)

BERT with History Answer Embedding for Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Minghui Qiu; W. Bruce Croft; Yongfeng Zhang; Mohit Iyyer (SIGIR, 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (CoRR, 2019)

Quizbowl: The Case for Incremental Question Answering. - Pedro Rodriguez 001; Shi Feng 005; Mohit Iyyer; He He 001; Jordan L. Boyd-Graber (CoRR, 2019)

Hard-Coded Gaussian Attention for Neural Machine Translation. - Weiqiu You; Simeng Sun; Mohit Iyyer (ACL, 2020)

STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation. - Nader Akoury; Shufan Wang; Josh Whiting; Stephen Hood; Nanyun Peng 001; Mohit Iyyer (EMNLP (1), 2020)

Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Subendhu Rongali; Yi-Pei Chen 001; Tim O'Gorman; Mohit Iyyer; Andrew McCallum (EMNLP (1), 2020)

Reformulating Unsupervised Style Transfer as Paraphrase Generation. - Kalpesh Krishna; John Wieting; Mohit Iyyer (EMNLP (1), 2020)

Exploring and Predicting Transferability across NLP Tasks. - Tu Vu; Tong Wang 012; Tsendsuren Munkhdalai; Alessandro Sordoni; Adam Trischler; Andrew Mattarella-Micke; Subhransu Maji; Mohit Iyyer (EMNLP (1), 2020)

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

Which Evaluations Uncover Sense Representations that Actually Make Sense? - Jordan L. Boyd-Graber; Fenfei Guo; Leah Findlater; Mohit Iyyer (LREC, 2020)

Open-Retrieval Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Cen Chen 001; Minghui Qiu; W. Bruce Croft; Mohit Iyyer (SIGIR, 2020)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Subhajit Naskar; Amirmohammad Rooshenas; Simeng Sun; Mohit Iyyer; Andrew McCallum (CoRR, 2020)

Analyzing Gender Bias within Narrative Tropes. - Dhruvil Gala; Mohammad Omar Khursheed; Hannah Lerner; Brendan O'Connor 001; Mohit Iyyer (CoRR, 2020)

Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models. - Sumanta Bhattacharyya; Amirmohammad Rooshenas; Subhajit Naskar; Simeng Sun; Mohit Iyyer; Andrew McCallum (ACL/IJCNLP (1), 2021)

Predicting in-hospital mortality by combining clinical notes with time-series data. - Iman Deznabi; Mohit Iyyer; Madalina Fiterau (ACL/IJCNLP (Findings), 2021)

WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing. - Amee Trivedi; Kate Silverstein; Emma Strubell; Prashant J. Shenoy; Mohit Iyyer (COMPASS, 2021)

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

Weakly-Supervised Open-Retrieval Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Cen Chen 001; W. Bruce Croft; Kalpesh Krishna; Mohit Iyyer (ECIR (1), 2021)

The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation. - Marzena Karpinska; Nader Akoury; Mohit Iyyer (EMNLP (1), 2021)

Do Long-Range Language Models Actually Use Long-Range Context? - Simeng Sun; Kalpesh Krishna; Andrew Mattarella-Micke; Mohit Iyyer (EMNLP (1), 2021)

IGA: An Intent-Guided Authoring Assistant. - Simeng Sun; Wenlong Zhao 001; Varun Manjunatha; Rajiv Jain; Vlad I. Morariu; Franck Dernoncourt; Balaji Vasan Srinivasan; Mohit Iyyer (EMNLP (1), 2021)

STraTA: Self-Training with Task Augmentation for Better Few-shot Learning. - Tu Vu; Minh-Thang Luong; Quoc V. Le; Grady Simon; Mohit Iyyer (EMNLP (1), 2021)

Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration. - Shufan Wang; Laure Thompson; Mohit Iyyer (EMNLP (1), 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 (EMNLP (1), 2021)

TABBIE: Pretrained Representations of Tabular Data. - Hiroshi Iida; Dung Thai; Varun Manjunatha; Mohit Iyyer (NAACL-HLT, 2021)

Hurdles to Progress in Long-form Question Answering. - Kalpesh Krishna; Aurko Roy; Mohit Iyyer (NAACL-HLT, 2021)

Revisiting Simple Neural Probabilistic Language Models. - Simeng Sun; Mohit Iyyer (NAACL-HLT, 2021)

How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? - Simeng Sun; Brian Dillon; Mohit Iyyer (Insights@ACL, 2022)

RELiC: Retrieving Evidence for Literary Claims. - Katherine Thai; Yapei Chang; Kalpesh Krishna; Mohit Iyyer (ACL (1), 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 (EMNLP (Findings), 2022)

DEMETR: Diagnosing Evaluation Metrics for Translation. - Marzena Karpinska; Nishant Raj; Katherine Thai; Yixiao Song; Ankita Gupta; Mohit Iyyer (EMNLP, 2022)

RankGen: Improving Text Generation with Large Ranking Models. - Kalpesh Krishna; Yapei Chang; John Wieting; Mohit Iyyer (EMNLP, 2022)

SLING: Sino Linguistic Evaluation of Large Language Models. - Yixiao Song; Kalpesh Krishna; Rajesh Bhatt; Mohit Iyyer (EMNLP, 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 (EMNLP, 2022)

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

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

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

A Critical Evaluation of Evaluations for Long-form Question Answering. - Fangyuan Xu; Yixiao Song; Mohit Iyyer; Eunsol Choi (ACL (1), 2023)

Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CCS, 2023)

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. - Ankita Gupta; Marzena Karpinska; Wenlong Zhao 001; Kalpesh Krishna; Jack Merullo; Luke Yeh; Mohit Iyyer; Brendan O'Connor 001 (EACL (Findings), 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 (EACL, 2023)

A Framework for Exploring Player Perceptions of LLM-Generated Dialogue in Commercial Video Games. - Nader Akoury; Qian Yang; Mohit Iyyer (EMNLP (Findings), 2023)

PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 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 (EMNLP, 2023)

kNN-LM Does Not Improve Open-ended Text Generation. - Shufan Wang; Yixiao Song; Andrew Drozdov; Aparna Garimella; Varun Manjunatha; Mohit Iyyer (EMNLP, 2023)

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. - Kalpesh Krishna; Yixiao Song; Marzena Karpinska; John Wieting; Mohit Iyyer (NeurIPS, 2023)

Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist. - Marzena Karpinska; Mohit Iyyer (WMT, 2023)

On the Risks of Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CoRR, 2023)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Chenguang Zhu 001; 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)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

TopicGPT: A Prompt-based Topic Modeling Framework. - Chau Minh Pham; Alexander Miserlis Hoyle; Simeng Sun; Mohit Iyyer (CoRR, 2023)

Multistage Collaborative Knowledge Distillation from Large Language Models. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (CoRR, 2023)

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. - Tu Vu; Mohit Iyyer; Xuezhi Wang 002; Noah Constant; Jerry W. Wei; Jason Wei; Chris Tar; Yun-Hsuan Sung; Denny Zhou; Quoc V. Le; Thang Luong (ACL (Findings), 2024)

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation. - Jiachen Zhao; Wenlong Zhao 001; Andrew Drozdov; Benjamin Rozonoyer; Md. Arafat Sultan; Jay-Yoon Lee; Mohit Iyyer; Andrew McCallum (ACL (1), 2024)

How Does In-Context Learning Help Prompt Tuning? - Simeng Sun; Yang Liu 124; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (Findings), 2024)

PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents. - Simeng Sun; Yang Liu 124; Shuohang Wang; Dan Iter; Chenguang Zhu 001; Mohit Iyyer (EACL (1), 2024)

PostMark: A Robust Blackbox Watermark for Large Language Models. - Yapei Chang; Kalpesh Krishna; Amir Houmansadr; John Wieting; Mohit Iyyer (EMNLP, 2024)

One Thousand and One Pairs: A "novel" challenge for long-context language models. - Marzena Karpinska; Katherine Thai; Kyle Lo; Tanya Goyal; Mohit Iyyer (EMNLP, 2024)

Suri: Multi-constraint Instruction Following in Long-form Text Generation. - Chau Pham; Simeng Sun; Mohit Iyyer (EMNLP (Findings), 2024)

VeriScore: Evaluating the factuality of verifiable claims in long-form text generation. - Yixiao Song; Yekyung Kim; Mohit Iyyer (EMNLP (Findings), 2024)

BooookScore: A systematic exploration of book-length summarization in the era of LLMs. - Yapei Chang; Kyle Lo; Tanya Goyal; Mohit Iyyer (ICLR, 2024)

TopicGPT: A Prompt-based Topic Modeling Framework. - Chau Pham; Alexander Miserlis Hoyle; Simeng Sun; Philip Resnik; Mohit Iyyer (NAACL-HLT, 2024)

GEE! Grammar Error Explanation with Large Language Models. - Yixiao Song; Kalpesh Krishna; Rajesh Bhatt; Kevin Gimpel; Mohit Iyyer (NAACL-HLT (Findings), 2024)

Triage of Messages and Conversations in a Large-Scale Child Victimization Corpus. - Prasanna Lakkur Subramanyam; Mohit Iyyer; Brian Neil Levine (WWW, 2024)

FABLES: Evaluating faithfulness and content selection in book-length summarization. - Yekyung Kim; Yapei Chang; Marzena Karpinska; Aparna Garimella; Varun Manjunatha; Kyle Lo; Tanya Goyal; Mohit Iyyer (CoRR, 2024)

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images. - Ali Naseh; Katherine Thai; Mohit Iyyer; Amir Houmansadr (CoRR, 2024)

Suri: Multi-constraint Instruction Following for Long-form Text Generation. - Chau Minh Pham; Simeng Sun; Mohit Iyyer (CoRR, 2024)

Interactive Topic Models with Optimal Transport. - Garima Dhanania; Sheshera Mysore; Chau Minh Pham; Mohit Iyyer; Hamed Zamani; Andrew McCallum (CoRR, 2024)

Fine-grained Hallucination Detection and Mitigation in Long-form Question Answering. - Rachneet Sachdeva; Yixiao Song; Mohit Iyyer; Iryna Gurevych (CoRR, 2024)

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (CoRR, 2024)

CaLMQA: Exploring culturally specific long-form question answering across 23 languages. - Shane Arora; Marzena Karpinska; Hung-Ting Chen; Ipsita Bhattacharjee; Mohit Iyyer; Eunsol Choi (ACL (1), 2025)

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text. - Jenna Russell; Marzena Karpinska; Mohit Iyyer (ACL (1), 2025)

Localizing and Mitigating Errors in Long-form Question Answering. - Rachneet Singh Sachdeva; Yixiao Song; Mohit Iyyer; Iryna Gurevych (ACL (Findings), 2025)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (Trans. Assoc. Comput. Linguistics, 2025)

OverThink: Slowdown Attacks on Reasoning LLMs. - Abhinav Kumar; Jaechul Roh; Ali Naseh; Marzena Karpinska; Mohit Iyyer; Amir Houmansadr; Eugene Bagdasarian (CoRR, 2025)

Whose story is it? Personalizing story generation by inferring author styles. - Nischal Ashok Kumar; Chau Minh Pham; Mohit Iyyer; Andrew S. Lan (CoRR, 2025)

CLIPPER: Compression enables long-context synthetic data generation. - Chau Minh Pham; Yapei Chang; Mohit Iyyer (CoRR, 2025)

One ruler to measure them all: Benchmarking multilingual long-context language models. - Yekyung Kim; Jenna Russell; Marzena Karpinska; Mohit Iyyer (CoRR, 2025)

BEARCUBS: A benchmark for computer-using web agents. - Yixiao Song; Katherine Thai; Chau Minh Pham; Yapei Chang; Mazin Nadaf; Mohit Iyyer (CoRR, 2025)

BLEUBERI: BLEU is a surprisingly effective reward for instruction following. - Yapei Chang; Yekyung Kim; Michael Krumdick; Amir Zadeh; Chuan Li; Chris Tanner; Mohit Iyyer (CoRR, 2025)

VeriFastScore: Speeding up long-form factuality evaluation. - Rishanth Rajendhran; Amir Zadeh; Matthew Sarte; Chuan Li; Mohit Iyyer (CoRR, 2025)

Frankentext: Stitching random text fragments into long-form narratives. - Chau Minh Pham; Jenna Russell; Dzung Pham 002; Mohit Iyyer (CoRR, 2025)

Does quantization affect models' performance on long-context tasks? - Anmol Mekala; Anirudh Atmakuru; Yixiao Song; Marzena Karpinska; Mohit Iyyer (CoRR, 2025)

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature. - Alisha Srivastava; Emir Korukluoglu; Minh Nhat Le; Duyen Tran; Chau Minh Pham; Marzena Karpinska; Mohit Iyyer (CoRR, 2025)

Literary Evidence Retrieval via Long-Context Language Models. - Katherine Thai; Mohit Iyyer (CoRR, 2025)