--- title: "Kejian Shi — author profile and papers — Elamur Research" description: "Kejian Shi: 2 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/kejian-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kejian-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kejian Shi # Kejian Shi Kejian Shi has 2 papers in our library, in 2023–2024, 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 [Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/), [Angelica Chen](https://md.research.elamur.ai/free/en/authors/angelica-chen/), [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/). 2 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kejian-shi/#papers) · [🔗 Cited 150 times in our library](https://md.research.elamur.ai/free/en/authors/kejian-shi/cited-by/) · [⭐ Paper Stars ranking: #4601](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4601) 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=Kejian+Shi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kejian+Shi) · [dblp](https://dblp.org/search?q=Kejian+Shi) · [ACL Anthology](https://aclanthology.org/search/?q=Kejian+Shi) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 6 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/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](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 · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2024** 1 paper Kejian Shi's papers of 2024](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-large-language-models/) · [**2023** 1 paper Kejian Shi's papers of 2023](https://md.research.elamur.ai/free/en/papers/korbak-2023-pretraining-language-models-human-preferences/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pretraining Language Models with Human Preferences](https://md.research.elamur.ai/free/en/papers/korbak-2023-pretraining-language-models-human-preferences/)** *(2023 · 118 citations)* Standard pretraining teaches language models to copy web text, including toxic language, leaked personal data and messy code. 2. **[On Learning to Summarize with Large Language Models as References](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-large-language-models/)** *(2024 · 94 citations)* Reference summaries in popular news datasets such as CNN/DailyMail are often rated below LLM outputs by human judges. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/) - [Angelica Chen](https://md.research.elamur.ai/free/en/authors/angelica-chen/) - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) - [Dragomir Radev](https://md.research.elamur.ai/free/en/authors/dragomir-radev/) - [Ethan Perez](https://md.research.elamur.ai/free/en/authors/ethan-perez/) - [Jason Phang](https://md.research.elamur.ai/free/en/authors/jason-phang/) - [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/) - [Rasika Bhalerao](https://md.research.elamur.ai/free/en/authors/rasika-bhalerao/) - [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) - [Tomasz Korbak](https://md.research.elamur.ai/free/en/authors/tomasz-korbak/) - [Yixin Liu](https://md.research.elamur.ai/free/en/authors/yixin-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/) ## Cited by Papers of our library cite their works 150 times (of the 141,840 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kejian-shi/cited-by/). Updated 24 October 2026