--- title: "Fei Jia — author profile and papers — Elamur Research" description: "Fei Jia: 2 papers on Elamur Research (2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/fei-jia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fei-jia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fei Jia # Fei Jia Fei Jia 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 [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/), [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/), [Igor Gitman](https://md.research.elamur.ai/free/en/authors/igor-gitman/). 2 papers in our library · 2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/fei-jia/#papers) · [🔗 Cited 476 times in our library](https://md.research.elamur.ai/free/en/authors/fei-jia/cited-by/) · [⭐ Paper Stars ranking: #4260](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4260) 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=Fei+Jia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fei+Jia) · [dblp](https://dblp.org/search?q=Fei+Jia) · [ACL Anthology](https://aclanthology.org/search/?q=Fei+Jia) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) 🧭 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/fei-jia/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[RULER: What's the Real Context Size of Your Long-Context Language Models?](https://md.research.elamur.ai/free/en/papers/hsieh-2024-ruler-s-real-context-size/)** *(2024 · 400 citations)* Long-context language models are usually checked with the needle-in-a-haystack (NIAH) test. That test only shows whether a model can find one planted fact, so it says little about deeper use of long inputs. The NVIDIA authors built RULER, a fully synthetic benchmark whose input length and difficulty can be set… 2. **[OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset](https://md.research.elamur.ai/free/en/papers/toshniwal-2024-openmathinstruct-1-1-8-million/)** *(2024 · 98 citations)* The strongest open math models have mostly been trained on solutions distilled from GPT-3.5/4. That approach has three drawbacks: restrictive terms of use, higher generation cost, and poor reproducibility because closed models change over time. The authors test whether a permissively licensed open model can take… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Boris Ginsburg](https://md.research.elamur.ai/free/en/authors/boris-ginsburg/) - [Cheng-Ping Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-ping-hsieh/) - [Igor Gitman](https://md.research.elamur.ai/free/en/authors/igor-gitman/) - [Ivan Moshkov](https://md.research.elamur.ai/free/en/authors/ivan-moshkov/) - [Samuel Kriman](https://md.research.elamur.ai/free/en/authors/samuel-kriman/) - [Sean Narenthiran](https://md.research.elamur.ai/free/en/authors/sean-narenthiran/) - [Shubham Toshniwal](https://md.research.elamur.ai/free/en/authors/shubham-toshniwal/) - [Simeng Sun](https://md.research.elamur.ai/free/en/authors/simeng-sun/) - [Yang Zhang](https://md.research.elamur.ai/free/en/authors/yang-zhang/) ## 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/) ## Cited by Papers of our library cite their works 476 times (of the 149,439 papers whose bibliographies we read); [119 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fei-jia/cited-by/). Updated 2 November 2026