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Ziyi Wang

Ziyi Wang has 3 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Jing Huang, Jiri Gesi, Yuxuan Lu.

3 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9901

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

🎓Adelaide UniversityAdelaide · Australia2026 · 1 papercurrent🎓Northeastern UniversityBoston · United States2026 · 1 papercurrent🎓The University of AdelaideAdelaide · Australia2026 · 1 papercurrent🎓University of Maryland, College ParkCollege Park · United States2026 · 1 papercurrent

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation (2026 · 8 citations)
    LLM agents can produce plausible web behavior, but it is hard to check whether they reproduce what a specific person would actually do.
  2. Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents (2026 · 2 citations)
    Tool-calling agents used in customer service often meet users whose requests lack key details, shift during the conversation, or break system policy.
  3. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs (2026)
    Explaining the behaviour of LLM agents is especially hard when they interact with other agents under hidden information, because their choices depend on beliefs that change over time.

 Co-authors here

12 of 17 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 10 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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