--- title: "Jeffrey Li · Boston University — author profile and papers" description: "Jeffrey Li, Boston University: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jeffrey-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jeffrey-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jeffrey Li # Jeffrey Li Jeffrey Li has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Alex Fang](https://md.research.elamur.ai/free/en/authors/alex-fang/), [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/), [Rui Xin](https://md.research.elamur.ai/free/en/authors/rui-xin/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5111296494) · [ORCID](https://orcid.org/0009-0002-4393-5773) · [**h-index 4**](https://openalex.org/authors/A5111296494) · [25 works](https://openalex.org/works?filter=author.id:A5111296494) · [67 citations](https://openalex.org/works?filter=author.id:A5111296494&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jeffrey-li/#papers) · [🔗 Cited 223 times in our library](https://md.research.elamur.ai/free/en/authors/jeffrey-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5388](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5388) 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=Jeffrey+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jeffrey+Li) · [dblp](https://dblp.org/search?q=Jeffrey+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Jeffrey+Li) ## Affiliations [🏥**Charité - Universitätsmedizin Berlin** Berlin · Germany 2025–2026 · 5 papersEmployment*current*](https://md.research.elamur.ai/free/en/hospitals/charite-universitatsmedizin-berlin/) · [🏥**City Of Hope National Medical Center** Duarte · United States 2024–2026 · 4 papers*current*](https://ror.org/00w6g5w60) · [🔬**German Centre for Cardiovascular Research** Berlin · Germany 2025–2026 · 4 papers*current*](https://ror.org/031t5w623) · [🎓**Humboldt-Universität zu Berlin** Berlin · Germany 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/humboldt-universitat-zu-berlin/) · [🏥**Deutsches Herzzentrum der Charité** Berlin · Germany 2025–2026 · 3 papers*current*](https://ror.org/01mmady97) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Boston University** Boston · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/boston-university/) · [🎓**Freie Universität Berlin** Berlin · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/freie-universitat-berlin/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🎓**University of Washington** Seattle · United States 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) 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 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 [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jeffrey-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/)** *(2024 · 191 citations)* Pretraining datasets for language models are hard to compare fairly. Published models also differ in architecture, compute and hyperparameters, and the developers of top open-weight models seldom disclose their training data. DCLM (DataComp for Language Models) is a benchmark that fixes the training recipe so that… 2. **[Language models scale reliably with over-training and on downstream tasks](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/)** *(2024 · 46 citations)* Scaling laws let teams forecast large language model behaviour from cheap small runs. Most published laws, however, assume Chinchilla-style compute-optimal training and predict only next-token loss. In practice, smaller models are often over-trained on far more tokens to cut inference cost, and they are compared on… ## All works 3 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. **[DataComp-LM: In search of the next generation of training sets for language models](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.*2024 · 191 citations* 2. [**Language models scale reliably with over-training and on downstream tasks arXiv:2403.08540**Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/) 3. **[Better Alignment with Instruction Back-and-Forth Translation ↗](https://aclanthology.org/2024.findings-emnlp.777/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Thao Nguyen et al.*2024 · 10 citations* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Alex Fang](https://md.research.elamur.ai/free/en/authors/alex-fang/) ×2 - [Georgios Smyrnis](https://md.research.elamur.ai/free/en/authors/georgios-smyrnis/) ×2 - [Rui Xin](https://md.research.elamur.ai/free/en/authors/rui-xin/) ×2 - [Samir Yitzhak Gadre](https://md.research.elamur.ai/free/en/authors/samir-yitzhak-gadre/) ×2 - [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/) ×2 - [Etash Guha](https://md.research.elamur.ai/free/en/authors/etash-guha/) - [Hritik Bansal](https://md.research.elamur.ai/free/en/authors/hritik-bansal/) - [Jean Mercat](https://md.research.elamur.ai/free/en/authors/jean-mercat/) - [Kushal Arora](https://md.research.elamur.ai/free/en/authors/kushal-arora/) - [Maor Ivgi](https://md.research.elamur.ai/free/en/authors/maor-ivgi/) - [Marianna Nezhurina](https://md.research.elamur.ai/free/en/authors/marianna-nezhurina/) - [Mitchell Wortsman](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) - Findings of the Association for Computational Linguistics: EMNLP 2024 ## Cited by Papers of our library cite their works 223 times (of the 149,439 papers whose bibliographies we read); [53 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jeffrey-li/cited-by/). Updated 30 October 2026