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Zihao Wu

Zihao Wu has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Zhengliang Liu, Lin Zhao, Peng Shu.

3 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 36 · 158 works · 4,811 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 157 times in our library · ⭐ Paper Stars ranking: #2350

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models (2023 · 940 citations)
    This survey maps early research on ChatGPT (GPT-3.5 and GPT-4). It asks where these models are being applied, how well they perform, and what holds them back. The authors gathered the 194 arXiv papers that mentioned ChatGPT as of April 1st, 2023. They analysed this set through submission trends over time, a word…
  2. Evaluation of OpenAI o1: Opportunities and Challenges of AGI (2024 · 64 citations)
    The paper examines how close OpenAI's o1-preview comes to general-purpose intelligence. o1-preview is a model trained with reinforcement learning to work through chain-of-thought reasoning before it answers. A large multi-institution team tested it on 27 task categories, mostly built from public datasets. These span…
  3. Revolutionizing Finance with LLMs: An Overview of Applications and Insights (2024 · 63 citations)
    This survey examines how large language models can be applied to finance, a field where data is highly specialized and errors are costly.

 Co-authors here

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

 Cited by

Papers of our library cite their works 157 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

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