---
title: "Mohit Iyyer — papers of 2023 — 7 papers, the most cited first"
description: "Mohit Iyyer — papers of 2023: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Mohit Iyyer — papers of 2023 — 7 papers, the most cited first

7 papers · [all years of Mohit Iyyer](https://md.research.elamur.ai/free/en/authors/mohit-iyyer/#years)

**[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.*2023 · 987 citations*

**[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/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.*2023 · 310 citations*

**[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/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*

- [FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation arXiv:2310.03214](https://md.research.elamur.ai/free/en/papers/vu-2023-freshllms-refreshing-large-language-models/) — Tu Vu, Mohit Iyyer, Xuezhi Wang, et al. · 2023 · 134 citations

**[A Critical Evaluation of Evaluations for Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/xu-2023-critical-evaluation-evaluations-long-form/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.*2023 · 117 citations*

**[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/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.*2023 · 114 citations*

- [Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF arXiv:2309.09055](https://md.research.elamur.ai/free/en/papers/sun-2023-exploring-impact-low-rank-adaptation/) — Simeng Sun, Dhawal Gupta, Mohit Iyyer · 2023 · 9 citations