Iyyer, Mohit

Deep Contextualized Word Representations

Peters, M., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 11,983

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

Kumar, A., Irsoy, O., Ondruska, P., Iyyer, M., Bradbury, J., Gulrajani, I., Zhong, V., Paulus, R., & Socher, R. (2015) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,020

QuAC: Question Answering in Context

Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.-T., Choi, Y., Liang, P., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Topic ModelingSpeech and dialogue systems

Cited by 714

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

Min, S., Krishna, K., Lyu, X., Lewis, M., Yih, W.-T., Koh, P., Iyyer, M., Zettlemoyer, L., & Hajishirzi, H. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 407

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

Krishna, K., Song, Y., Karpinska, M., Wieting, J., & Iyyer, M. (2023) · arXiv

Authorship Attribution and ProfilingSpam and Phishing Detection

Cited by 150

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

Krishna, K., Song, Y., Karpinska, M., Wieting, J., & Iyyer, M. (2023) · Advances in Neural Information Processing Systems 36

Authorship Attribution and ProfilingSpam and Phishing Detection

Cited by 150

Hurdles to Progress in Long-form Question Answering

Krishna, K., Roy, A., & Iyyer, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingInformation Retrieval and Search Behavior

Cited by 114

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

Krishna, K., Tomar, G. S., Parikh, A. P., Papernot, N., & Iyyer, M. (2019) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 111

TopicGPT: A Prompt-based Topic Modeling Framework

Pham, C., Hoyle, A., Sun, S., Resnik, P., & Iyyer, M. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingComputational and Text Analysis Methods

Cited by 108

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 73

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

Karpinska, M., Akoury, N., & Iyyer, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 56

Generating Question-Answer Hierarchies

Krishna, K., & Iyyer, M. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 44

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

Sun, S., Krishna, K., Mattarella-Micke, A., & Iyyer, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 43

A Critical Evaluation of Evaluations for Long-form Question Answering

Xu, F., Song, Y., Iyyer, M., & Choi, E. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 33

RankGen: Improving Text Generation with Large Ranking Models

Krishna, K., Chang, Y., Wieting, J., & Iyyer, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 30

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

Krishna, K., Bransom, E., Kuehl, B., Iyyer, M., Dasigi, P., Cohan, A., & Lo, K. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 29

DEMETR: Diagnosing Evaluation Metrics for Translation

Karpinska, M., Raj, N., Thai, K., Song, Y., Gupta, A., & Iyyer, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 22

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text

Russell, J., Karpinska, M., & Iyyer, M. (2025) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 19

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

Chang, Y., Lo, K., Goyal, T., & Iyyer, M. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 18

VeriScore: Evaluating the factuality of verifiable claims in long-form text generation

Song, Y., Kim, Y., & Iyyer, M. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingMisinformation and Its Impacts

Cited by 15

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

Min, S., Krishna, K., Lyu, X., Lewis, M., Yih, W.-T., Koh, P. W., Iyyer, M., Zettlemoyer, L., & Hajishirzi, H. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

StoryScope: Investigating idiosyncrasies in AI fiction

Russell, J., Rajendhran, R., Pham, C. M., Iyyer, M., & Wieting, J. (2026) · arXiv

Authorship Attribution and ProfilingArtificial Intelligence in Games

Cited by 13

One Thousand and One Pairs: A “novel” challenge for long-context language models

Karpinska, M., Thai, K., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 7

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7