--- title: "Lydia Chilton · Columbia University — author profile and papers" description: "Lydia Chilton, Columbia University: 2 papers on Elamur Research (2024–2026), h-index 31 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lydia-chilton/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lydia-chilton/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lydia Chilton # Lydia Chilton Lydia Chilton has 2 papers in our library, in 2024–2026, 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Amir H. Rezaeian](https://md.research.elamur.ai/free/en/authors/amir-h-rezaeian/), [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/), [Kathleen McKeown](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5049173646) · [ORCID](https://orcid.org/0000-0002-1737-1276) · [Wikidata](https://www.wikidata.org/wiki/Q113667715) · [**h-index 31**](https://openalex.org/authors/A5049173646) · [121 works](https://openalex.org/works?filter=author.id:A5049173646) · [4,854 citations](https://openalex.org/works?filter=author.id:A5049173646&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lydia-chilton/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/lydia-chilton/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9681](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9681) 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=Lydia+Chilton) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lydia+Chilton) · [dblp](https://dblp.org/search?q=Lydia+Chilton) · [ACL Anthology](https://aclanthology.org/search/?q=Lydia+Chilton) ## Affiliations [🎓**Columbia University** New York · United States 2017–2026 · 81 papersEmployment since 2017 · Assistant Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**University of Washington** Seattle · United States 2009–2016 · 19 papersEducation 2009–2016 · DOCTOR OF PHILOSOPHY, Computer Science](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2009–2010 · 4 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**City University of New York** New York · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-new-york/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2002–2010 · 2 papersEducation 2002–2007 · BACHELOR OF SCIENCE, Electrical Engineering and Computer ScienceEducation 2002–2006 · BACHELOR OF SCIENCE, EconomicsEducation 2007–2009 · MASTER OF ENGINEERING, Electrical Engineering and Computer Science](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Stanford University** Stanford · United States 2016–2017Employment 2016–2017 · Post-Doctorial Researcher, Computer Science](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. 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 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 3 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/lydia-chilton/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lydia-chilton/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[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… 2. **[Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data](https://md.research.elamur.ai/free/en/papers/zhang-2026-budget-aware-anytime-reasoning-llm/)** *(2026)* The paper looks at how LLMs behave when reasoning is cut short by a fixed token or latency budget. In such cases, a usable partial answer delivered early can be worth more than a complete answer that arrives too late. The authors build an evaluation pipeline that works in three steps. First, it samples… ## 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. **[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* 2. **[Low Level Linguistic Controls for Style Transfer and Content Preservation ↗](https://aclanthology.org/W19-8628/) Proceedings of the 12th International Conference on Natural Language Generation · no summary yet**Katy Gero et al.*2019 · 10 citations* 3. **[Budget-Aware Anytime Reasoning with LLM-Synthesized Preference Data](https://md.research.elamur.ai/free/en/papers/zhang-2026-budget-aware-anytime-reasoning-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuanming Zhang, Shwan Ashrafi, Aziza Mirsaidova, et al.*2026* 4. **[Schemex: Discovering Structural Abstractions from Examples ↗](https://doi.org/10.1145/3834580.3838742) arXiv:2504.11795 · no summary yet**Sitong Wang et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Amir H. Rezaeian](https://md.research.elamur.ai/free/en/authors/amir-h-rezaeian/) - [Dan Roth](https://md.research.elamur.ai/free/en/authors/dan-roth/) - [Kathleen McKeown](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/) - [Melanie Subbiah](https://md.research.elamur.ai/free/en/authors/melanie-subbiah/) - [Miguel Ballesteros](https://md.research.elamur.ai/free/en/authors/miguel-ballesteros/) - [Xuanming Zhang](https://md.research.elamur.ai/free/en/authors/xuanming-zhang/) - [Zhou Yu](https://md.research.elamur.ai/free/en/authors/zhou-yu/) ## 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/) - [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/) - [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/) - Proceedings of the 12th International Conference on Natural Language Generation ## Cited by Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lydia-chilton/cited-by/). Updated 2 November 2026