--- title: "Melanie Subbiah · Brown University — author profile and papers" description: "Melanie Subbiah, Brown University: 2 papers on Elamur Research (2020–2024), h-index 4 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/melanie-subbiah/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/melanie-subbiah/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Melanie Subbiah # Melanie Subbiah Melanie Subbiah has 2 papers in our library, in 2020–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/), [Ariel Herbert-Voss](https://md.research.elamur.ai/free/en/authors/ariel-herbert-voss/), [Arvind Neelakantan](https://md.research.elamur.ai/free/en/authors/arvind-neelakantan/). 2 papers in our library · 2020–2024 [OpenAlex](https://openalex.org/A5031060893) · [**h-index 4**](https://openalex.org/authors/A5031060893) · [20 works](https://openalex.org/works?filter=author.id:A5031060893) · [2,908 citations](https://openalex.org/works?filter=author.id:A5031060893&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/#papers) · [🔗 Cited 11,345 times in our library](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #188](https://md.research.elamur.ai/free/en/paper-stars/page/2/#star-188) 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=Melanie+Subbiah) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Melanie+Subbiah) · [dblp](https://dblp.org/search?q=Melanie+Subbiah) · [ACL Anthology](https://aclanthology.org/search/?q=Melanie+Subbiah) ## Affiliations [🎓**Columbia University** New York · United States 2022–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**Brown University** Providence · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/brown-university/) 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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) 💡 Concepts 6 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) · [Few-shot learning · 1 work](https://md.research.elamur.ai/free/en/concepts/few-shot-learning/) · [Language model · 1 work](https://md.research.elamur.ai/free/en/concepts/language-model/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) · [Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) · [Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/year/2024/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Language Models are Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/brown-2020-language-models-few-shot-learners/)** *(2020 · 14,178 citations)* Pre-trained transformers usually still need a labeled fine-tuning set of thousands of examples for every new task. 2. **[Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers](https://md.research.elamur.ai/free/en/papers/subbiah-2024-reading-subtext-evaluating-large-language/)** *(2024 · 30 citations)* Testing how well LLMs grasp fiction is hard. Published stories have probably been seen during training, and judging long-form summaries is slow and expensive. This paper avoids both problems by working with skilled creative writers, who contributed their own unpublished short stories and then rated model summaries of… ## 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. [**Language Models are Few-Shot Learners arXiv:2005.14165**Tom B. Brown, Benjamin Mann, Nick Ryder, et al.*2020 · 14,178 citations*](https://md.research.elamur.ai/free/en/papers/brown-2020-language-models-few-shot-learners/) 2. **[Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers](https://md.research.elamur.ai/free/en/papers/subbiah-2024-reading-subtext-evaluating-large-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Melanie Subbiah, Sean Zhang, Lydia B. Chilton, et al.*2024 · 30 citations* 3. **[Guiding LLM Decision-Making with Fairness Reward Models ↗](https://doi.org/10.52202/085713-4867) neural information processing systems · no summary yet**Zara Hall et al.*2025 · 3 citations* 4. **[Ownership in AI-Assisted Everyday Tasks ↗](https://arxiv.org/abs/2609.20658) arXiv (Cornell University) · no summary yet**Megan Wei et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/) - [Ariel Herbert-Voss](https://md.research.elamur.ai/free/en/authors/ariel-herbert-voss/) - [Arvind Neelakantan](https://md.research.elamur.ai/free/en/authors/arvind-neelakantan/) - [Benjamin Mann](https://md.research.elamur.ai/free/en/authors/benjamin-mann/) - [Girish Sastry](https://md.research.elamur.ai/free/en/authors/girish-sastry/) - [Jared Kaplan](https://md.research.elamur.ai/free/en/authors/jared-kaplan/) - [Kathleen McKeown](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/) - [Prafulla Dhariwal](https://md.research.elamur.ai/free/en/authors/prafulla-dhariwal/) - [Pranav Shyam](https://md.research.elamur.ai/free/en/authors/pranav-shyam/) - [Sandhini Agarwal](https://md.research.elamur.ai/free/en/authors/sandhini-agarwal/) - [Tom B. Brown](https://md.research.elamur.ai/free/en/authors/tom-b-brown/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/) - neural information processing systems ## Cited by Papers of our library cite their works 11,345 times (of the 149,439 papers whose bibliographies we read); [1,684 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/cited-by/). Updated 30 October 2026