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Zican Dong

Zican Dong has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Junyi Li, Tianyi Tang, Wayne Xin Zhao.

2 papers in our library · 2023–2024

OpenAlex · h-index 4 · 23 works · 271 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,371 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #953

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

🎓Renmin University of ChinaBeijing · China2022–2026 · 13 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

💡 Concepts 1Key ideas and methods explained on our concept pages.Language model · 1 work

 Works by year

2020s

20241 paperBAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models20231 paperA Survey of Large Language Models

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Large Language Models (2023 · 2,863 citations)
    This survey offers a systematic, regularly updated overview of large language models (LLMs), a field that had grown faster than any earlier review of pre-trained language models (PLMs) could track.
  2. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models (2024 · 59 citations)
    Long-context LLMs are increasingly common, but earlier benchmarks such as ZeroSCROLLS, L-Eval and LongBench have two weaknesses.

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. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  2. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
  3. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetHan Peng et al.2025 · 4 citations

 Co-authors here

9 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 1,371 times (of the 141,840 papers whose bibliographies we read); 98 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/zican-dong/