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Zhiqiang Liu

Zhiqiang Liu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Question answering, Reasoning; often with Huajun Chen, Wen Zhang, Lei Liang.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 5 · 17 works · 129 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9279

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

🎓Aerospace Information Research InstituteBeijing · China2022–2025 · 7 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2022–2025 · 7 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2022–2025 · 6 paperscurrent🏢Ant GroupHangzhou · China2024–2025 · 3 paperscurrent🎓Zhejiang UniversityHangzhou · China2024–2025 · 3 paperscurrent🎓Nanjing University of Aeronautics and AstronauticsNanjing · China2025 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 4Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workQuestion answering · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models (2025 · 9 citations)
    Questions over temporal knowledge graphs (TKGs) often combine several time conditions, such as an implicit anchor event plus an ordering requirement like "last." Existing TKGQA systems, including LLM-based ones, tend to hallucinate on such questions.
  2. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning (2026 · 4 citations)
    Temp-R1 addresses question answering over temporal knowledge graphs (TKGQA), where facts are timestamped quadruples and questions often combine multi-hop links with time constraints.
  3. Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching (2025 · 4 citations)
    LLMs that answer questions over knowledge graphs (KGQA) still hallucinate or make factual mistakes. The authors trace this to a semantic gap between query and graph. A question has a narrow goal and a short logical path, while the KG holds many unrelated facts about the topic entity (focus mismatch). The KG also…

 Co-authors here

5 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 12 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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