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Yingxiu Zhao

Yingxiu Zhao has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Bowen Yu, Can Xu, Fei Huang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 8 · 35 works · 270 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 193 times in our library · ⭐ Paper Stars ranking: #4865

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

🏢Alibaba GroupHangzhou · China2022–2026 · 6 paperscurrent🎓North China University of Science and TechnologyTangshan · China2026 · 1 papercurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2022–2024 · 16 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs (2023 · 286 citations)
    LLMs can be extended with external tools, but it has been unclear how well current models actually use APIs, how this skill can be improved, and what still goes wrong.
  2. Automatic Instruction Evolving for Large Language Models (2024 · 28 citations)
    Evol-Instruct improves instruction-tuning data by having an LLM rewrite instructions into harder, more varied versions. However, its rewriting rules are hand-crafted by experts and must be redesigned for each new domain. This paper presents Auto Evol-Instruct, which removes that manual step.

 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 193 times (of the 149,439 papers whose bibliographies we read); 51 citing papers with a page here →.

Updated

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