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Zhengjia Wang

Zhengjia Wang has 2 papers in our library, in 2026, most of them on Dialogue systems; often with Beizhe Hu, Danding Wang, Feng Zhang.

2 papers in our library · 2026

OpenAlex · h-index 1 · 7 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #14119

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

🏛️Chinese Academy of SciencesBeijing · China2026 · 6 paperscurrent🔬Institute of Computing TechnologyBeijing · China2026 · 4 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 4 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksPsychology · 1 workSocial Psychology · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 1Research subjects and languages the work is about.Dialogue systems · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters (2026)
    The paper addresses a gap in proactive conversational agents. Prior work makes assistants more active only after a dialogue has started. Before that, many users open the app with a vague need, never type anything and leave. Production logs show about 20% of users do this. The authors define this as the task of…
  2. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-Judgments (2026)
    The paper tackles factual hallucination detection in LLMs, framed as binary classification of whether a response is factual.

 Co-authors here

8 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.

Updated

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