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H. Vicky Zhao

H. Vicky Zhao has 2 papers in our library, in 2024–2026, most of them on Reasoning, Efficient models & compression; often with Zhuoshi Pan, Chin-Yew Lin, Conghui He.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 9 · 37 works · 471 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 113 times in our library · ⭐ Paper Stars ranking: #6026

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

🎓Anhui UniversityHefei · China2024–2025 · 3 paperscurrent🎓Huizhou UniversityHuizhou · China2025 · 1 papercurrent🎓University of AlbertaEdmonton · Canada2007–2014 · 18 papers🎓Tsinghua UniversityBeijing · China2009–2024 · 3 papers🎓University of Tennessee at KnoxvilleKnoxville · United States2023–2024 · 3 papers🎓The University of Texas at El PasoEl Paso · United States2021–2023 · 2 papers🎓Anhui Normal UniversityWuhu · China2010 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.Efficient models & compression · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression (2024 · 161 citations)
    Long prompts built with techniques like RAG, in-context learning or chain-of-thought increase the cost and latency of LLM inference.
  2. REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once (2026 · 3 citations)
    Standard reasoning benchmarks pose one question per prompt. Many, such as GSM8K and MATH500, are now close to saturated for large reasoning models (LRMs), which forces repeated, costly creation of new test sets. The single-question format also ignores real deployments where a model must handle several queries in one…

 Co-authors here

12 of 15 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 113 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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