--- title: "Nihar B. Shah — author profile and papers — Elamur Research" description: "Nihar B. Shah, Microsoft: 2 papers on Elamur Research (2023–2024), h-index 32 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nihar-b-shah/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nihar-b-shah/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nihar B. Shah # Nihar B. Shah Nihar B. Shah has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Benedictus Kent Rachmat](https://md.research.elamur.ai/free/en/authors/benedictus-kent-rachmat/), [Zhen Xu](https://md.research.elamur.ai/free/en/authors/zhen-xu/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5034272491) · [ORCID](https://orcid.org/0000-0001-5158-9677) · [Wikidata](https://www.wikidata.org/wiki/Q130841952) · [**h-index 32**](https://openalex.org/authors/A5034272491) · [156 works](https://openalex.org/works?filter=author.id:A5034272491) · [4,561 citations](https://openalex.org/works?filter=author.id:A5034272491&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nihar-b-shah/#papers) · [🔗 Cited 129 times in our library](https://md.research.elamur.ai/free/en/authors/nihar-b-shah/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8053](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8053) 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=Nihar+B.+Shah) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nihar+B.+Shah) · [dblp](https://dblp.org/search?q=Nihar+B.+Shah) · [ACL Anthology](https://aclanthology.org/search/?q=Nihar+B.+Shah) ## Affiliations [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2026 · 92 papersEmployment · Machine Learning and Computer Science*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Microsoft** Redmond · United States 2015–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of California, Berkeley** Berkeley · United States 2011–2020 · 36 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Indian Institute of Science Bangalore** Bengaluru · India 2009–2011 · 11 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-science-bangalore/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [History and Philosophy of Science · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 🧭 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/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/nihar-b-shah/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/nihar-b-shah/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing](https://md.research.elamur.ai/free/en/papers/liu-2023-reviewergpt-exploratory-study-using/)** *(2023 · 84 citations)* Peer review is overloaded, and human reviewers often miss flaws. Liu and Shah explore whether LLMs could take over parts of the reviewing workload. A pilot challenged nine models to find a deliberately planted error in a short paper: GPT-4 along with eight others, namely StableLM, LLaMa, Alpaca, Dolly, Koala, Vicuna… 2. **[Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment](https://md.research.elamur.ai/free/en/papers/goldberg-2024-usefulness-llms-author-checklist-assistant/)** *(2024 · 10 citations)* Large conferences ask authors to fill in compliance checklists, but making sure those answers are accurate is hard to do at scale. ## All works 7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing arXiv:2306.00622**Ryan Liu, Nihar B. Shah*2023 · 84 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-reviewergpt-exploratory-study-using/) 2. **[What Can Natural Language Processing Do for Peer Review? ↗](https://arxiv.org/abs/2405.06563) arXiv:2405.06563 · no summary yet**Ilia Kuznetsov et al.*2024 · 33 citations* 3. **[Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments ↗](https://arxiv.org/abs/2311.09497) arXiv:2311.09497 · no summary yet**Alexander Goldberg et al.*2023 · 32 citations* 4. **[The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems ↗](https://arxiv.org/abs/2509.08713) arXiv:2509.08713 · no summary yet**Ziming Luo, Atoosa Kasirzadeh, Nihar B. Shah*2025 · 11 citations* 5. **[How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions? ↗](https://doi.org/10.1371/journal.pone.0300710) PLoS ONE · no summary yet**Charvi Rastogi et al.*2022 · 11 citations* 6. [**Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment arXiv:2411.03417**Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/goldberg-2024-usefulness-llms-author-checklist-assistant/) 7. **[A Gold Standard Dataset for the Reviewer Assignment Problem ↗](https://arxiv.org/abs/2303.16750) arXiv (Cornell University) · no summary yet**Ivan Stelmakh et al.*2023 · 7 citations* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Benedictus Kent Rachmat](https://md.research.elamur.ai/free/en/authors/benedictus-kent-rachmat/) - [Zhen Xu](https://md.research.elamur.ai/free/en/authors/zhen-xu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - PLoS ONE ## Cited by Papers of our library cite their works 129 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nihar-b-shah/cited-by/). Updated 2 November 2026