--- title: "Seth Neel · Harvard University — author profile and papers" description: "Seth Neel, Harvard University: 2 papers on Elamur Research (2023–2026), h-index 13 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/seth-neel/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/seth-neel/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Seth Neel # Seth Neel Seth Neel has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/), [Martin Pawelczyk](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5035371128) · [**h-index 13**](https://openalex.org/authors/A5035371128) · [54 works](https://openalex.org/works?filter=author.id:A5035371128) · [1,282 citations](https://openalex.org/works?filter=author.id:A5035371128&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/seth-neel/#papers) · [🔗 Cited 92 times in our library](https://md.research.elamur.ai/free/en/authors/seth-neel/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8319](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8319) 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=Seth+Neel) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Seth+Neel) · [dblp](https://dblp.org/search?q=Seth+Neel) · [ACL Anthology](https://aclanthology.org/search/?q=Seth+Neel) ## Affiliations [🎓**Harvard University** Cambridge · United States 2014–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University of Pennsylvania** Philadelphia · United States 2016–2025 · 20 papers](https://md.research.elamur.ai/free/en/universities/university-of-pennsylvania/) · [🏢**Google** Mountain View · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/google/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/seth-neel/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/seth-neel/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[In-Context Unlearning: Language Models as Few Shot Unlearners](https://md.research.elamur.ai/free/en/papers/pawelczyk-2023-context-unlearning-language-models-few/)** *(2023 · 81 citations)* Privacy rules such as the Right to be Forgotten, along with copyright takedown demands, can require removing the effect of particular training examples from a deployed model. 2. **[CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-checkmiabench-firm-foundations-membership-inference/)** *(2026)* Evaluating membership inference attacks (MIAs) on LLMs is hard because member and non-member sets often differ in distribution. ## All works 4 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. [**In-Context Unlearning: Language Models as Few Shot Unlearners arXiv:2310.07579**Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/pawelczyk-2023-context-unlearning-language-models-few/) 2. **[Privacy Issues in Large Language Models: A Survey ↗](https://arxiv.org/abs/2312.06717) arXiv:2312.06717 · no summary yet**Seth Neel, Peter Chang*2023 · 30 citations* 3. **[Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice ↗](https://doi.org/10.2139/ssrn.5060253) SSRN Electronic Journal · no summary yet**A. Feder Cooper et al.*2025 · 12 citations* 4. **[CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-checkmiabench-firm-foundations-membership-inference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeffrey George Wang, Jason Wang, Marvin Li, et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Himabindu Lakkaraju](https://md.research.elamur.ai/free/en/authors/himabindu-lakkaraju/) - [Martin Pawelczyk](https://md.research.elamur.ai/free/en/authors/martin-pawelczyk/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - SSRN Electronic Journal ## Cited by Papers of our library cite their works 92 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/seth-neel/cited-by/). Updated 2 November 2026