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Anqi Li

Anqi Li has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Zhenzhong Lan, Changtai Zhu, Hang Xue.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 7 · 33 works · 193 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 81 times in our library · ⭐ Paper Stars ranking: #6171

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

🎓Beijing Institute of TechnologyBeijing · China2025–2026 · 2 paperscurrent🎓Yangzhou UniversityYangzhou · China2023–2024 · 4 papers🎓University of Chinese Academy of SciencesBeijing · China2023–2024 · 2 papers🎓Westlake UniversityHangzhou · China2023 · 2 papers🎓Beihang UniversityBeijing · China2020 · 2 papers🎓Carnegie Mellon UniversityPittsburgh · United States2016–2017 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 10 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workInformation Systems · 1 work

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support (2024 · 95 citations)
    Mental health dialogue systems need multi-turn conversation data, but real counseling sessions are hard to collect and share.
  2. SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark (2023 · 57 citations)
    Most LLM benchmarks, including Chinese ones such as C-Eval and MMCU, rely on multiple-choice accuracy. That metric says little about how users experience a model in free-form conversation. SuperCLUE addresses this gap for Chinese with three complementary parts:

 Co-authors here

10 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 81 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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