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Kejian Shi

Kejian Shi has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Summarization; often with Alexander Fabbri, Angelica Chen, Arman Cohan.

2 papers in our library · 2023–2024

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📄 2 works in our library · 🔗 Cited 150 times in our library · ⭐ Paper Stars ranking: #4602

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksDevelopmental and Educational Psychology · 1 workPsychology · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workSummarization · 1 work

 Works by year

2020s

20241 paperOn Learning to Summarize with Large Language Models as References20231 paperPretraining Language Models with Human Preferences

 Papers

The most cited first (OpenAlex and our library).

  1. Pretraining Language Models with 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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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