--- title: "Monica Agrawal · Duke University — author profile and papers" description: "Monica Agrawal, Duke University: 3 papers on Elamur Research (2022–2026), h-index 14 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/monica-agrawal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/monica-agrawal/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Monica Agrawal # Monica Agrawal Monica Agrawal has 3 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/), [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/), [Stefan Hegselmann](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/). 3 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5088961661) · [ORCID](https://orcid.org/0000-0002-6515-329X) · [**h-index 14**](https://openalex.org/authors/A5088961661) · [47 works](https://openalex.org/works?filter=author.id:A5088961661) · [2,482 citations](https://openalex.org/works?filter=author.id:A5088961661&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/monica-agrawal/#papers) · [🔗 Cited 205 times in our library](https://md.research.elamur.ai/free/en/authors/monica-agrawal/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3051](https://md.research.elamur.ai/free/en/paper-stars/page/31/#star-3051) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Monica+Agrawal) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Monica+Agrawal) · [dblp](https://dblp.org/search?q=Monica+Agrawal) · [ACL Anthology](https://aclanthology.org/search/?q=Monica+Agrawal) ## Affiliations [🎓**Duke University** Durham · United States 2024–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2025 · 16 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2021–2024 · 6 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Stanford University** Stanford · United States 2014–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Molecular Biology · 2 works](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [General Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/general-health-professions/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/monica-agrawal/year/2026/) · [**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/monica-agrawal/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/)** *(2022 · 454 citations)* Extracting structured variables from clinical notes is difficult. The text is full of jargon and irregular phrasing, annotation requires medical experts, and most annotated corpora have data use agreements that forbid sending them to external LLM APIs. The authors ask whether a general-domain model, InstructGPT… 2. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/)** *(2022 · 384 citations)* Clinical notes contain many variables that never reach the structured fields of electronic health records. 3. **[MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication](https://md.research.elamur.ai/free/en/papers/sambara-2026-medredflag-investigating-how-llms-redirect/)** *(2026)* Patients often build their health questions on mistaken beliefs, such as trusting an implausible wearable reading or assuming a rare diagnosis. ## All works 7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Modeling polypharmacy side effects with graph convolutional networks ↗](https://doi.org/10.1093/bioinformatics/bty294) Bioinformatics · no summary yet**Marinka Žitnik, Monica Agrawal, Jure Leskovec*2018 · 1,517 citations* 2. **[Large language models are few-shot clinical information extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 454 citations* 3. **[Large Language Models are Few-Shot Clinical Information Extractors](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-few-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 384 citations* 4. **[Large-scale analysis of disease pathways in the human interactome ↗](https://doi.org/10.1142/9789813235533_0011) Pacific Symposium on Biocomputing (PSB) · no summary yet**Monica Agrawal, Marinka Žitnik, Jure Leskovec*2017 · 106 citations* 5. **[Co-training Improves Prompt-based Learning for Large Language Models ↗](https://arxiv.org/abs/2202.00828) arXiv (Cornell University) · no summary yet**Hunter Lang et al.*2022 · 41 citations* 6. **[Using Large Language Models to Promote Health Equity ↗](https://doi.org/10.1056/aip2400889) NEJM AI · no summary yet**Emma Pierson et al.*2023 · 18 citations* 7. **[MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication](https://md.research.elamur.ai/free/en/papers/sambara-2026-medredflag-investigating-how-llms-redirect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sraavya Sambara, Yuan Pu, Ayman Ali, et al.*2026* ## Co-authors here 5 co-authors with a page, the most papers together first. - [David Sontag](https://md.research.elamur.ai/free/en/authors/david-sontag/) ×2 - [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/) ×2 - [Stefan Hegselmann](https://md.research.elamur.ai/free/en/authors/stefan-hegselmann/) ×2 - [Yoon Kim](https://md.research.elamur.ai/free/en/authors/yoon-kim/) ×2 - [Lionel Wong](https://md.research.elamur.ai/free/en/authors/lionel-wong/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Bioinformatics - NEJM AI - Pacific Symposium on Biocomputing (PSB) ## Cited by Papers of our library cite their works 205 times (of the 149,439 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/monica-agrawal/cited-by/). Updated 1 November 2026