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Jiaju Lin

Jiaju Lin has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems; often with Aimin Zhou, Bo Peng, Haowen Hou.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 9 · 35 works · 231 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 46 times in our library · ⭐ Paper Stars ranking: #7125

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

 Affiliations

🎓Pennsylvania State UniversityState College · United States2024–2026 · 9 paperscurrent🎓Xiamen UniversityXiamen · China2022–2024 · 7 papers🎓East China Normal UniversityShanghai · China2021–2023 · 7 papers🏢ByteDanceBeijing · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksMedicine · 1 workHealth Informatics · 1 workInformation Systems · 1 workArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Dialogue systems · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education (2023 · 58 citations)
    General-purpose LLMs are poorly suited to education. They lack subject and pedagogical knowledge, their knowledge goes stale, and they tend to hallucinate. EduChat is an open-source chatbot built to serve teachers, students and parents. The authors draw on educational and psychological theory and train it in two…
  2. RWKV-7 "Goose" with Expressive Dynamic State Evolution (2025 · 23 citations)
    Transformers become expensive on long inputs because their key-value cache grows with sequence length. Recurrent alternatives keep a fixed-size state but have struggled to match Transformer quality and expressiveness. This paper introduces RWKV-7 "Goose", an RNN that uses constant memory and constant per-token…

 Co-authors here

10 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 46 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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