---
title: "Mohit Iyyer — papers"
description: "Mohit Iyyer: 15 papers in the Elamur Research library (2014–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/mohit-iyyer/"
---
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# Mohit Iyyer

15 papers on this site (2014–2023)

[OpenAlex](https://openalex.org/A5082767919) · [ORCID](https://orcid.org/0000-0001-7340-0804) · h-index 33 · 142 works · 18155 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation](https://md.research.elamur.ai/free/en/papers/min-2023-factscore-fine-grained-atomic-evaluation/) — Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al. · 2023
- [FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/) — Tu Vu, Mohit Iyyer, Xuezhi Wang, et al. · 2023
- [Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/) — Marzena Karpinska, Mohit Iyyer · 2023
- [LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) — Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al. · 2023
- [Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense](https://md.research.elamur.ai/free/en/papers/krishna-2023-paraphrasing-evades-detectors-ai-generated/) — Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al. · 2023
- [Hurdles to Progress in Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/krishna-2021-hurdles-progress-long-form-question/) — Kalpesh Krishna, Aurko Roy, Mohit Iyyer · 2021
- [Exploring and Predicting Transferability across NLP Tasks](https://md.research.elamur.ai/free/en/papers/vu-2020-exploring-predicting-transferability-across-nlp/) — Tu Vu, Tong Wang, Tsendsuren Munkhdalai, et al. · 2020
- [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) — Kalpesh Krishna, John Wieting, Mohit Iyyer · 2020
- [Adversarial Example Generation with Syntactically Controlled Paraphrase Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2018-adversarial-example-generation-syntactically-controlled/) — Mohit Iyyer, John Wieting, Kevin Gimpel, et al. · 2018
- [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · 2018
- [Search-based Neural Structured Learning for Sequential Question Answering](https://md.research.elamur.ai/free/en/papers/iyyer-2017-search-based-neural-structured-learning/) — Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang · 2017
- [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://md.research.elamur.ai/free/en/papers/kumar-2015-ask-me-anything-dynamic-memory/) — Ankit Kumar, Ozan Irsoy, Peter Ondruska, et al. · 2015
- [Deep Unordered Composition Rivals Syntactic Methods for Text Classification](https://md.research.elamur.ai/free/en/papers/iyyer-2015-deep-unordered-composition-rivals-syntactic/) — Mohit Iyyer, Varun Manjunatha, Jordan Boyd-Graber, et al. · 2015
- [Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers](https://md.research.elamur.ai/free/en/papers/guha-2015-removing-training-wheels-coreference-dataset/) — Anupam Guha, Mohit Iyyer, Danny Bouman, et al. · 2015
- [Political Ideology Detection Using Recursive Neural Networks](https://md.research.elamur.ai/free/en/papers/iyyer-2014-political-ideology-detection-recursive-neural/) — Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, et al. · 2014