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Qiji Zhou

Qiji Zhou has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Sentiment & emotion, Evaluation & benchmarks; often with Chenliang Li, Donghong Ji, Hanmeng Liu.

2 papers in our library · 2020–2023

OpenAlex · ORCID · h-index 9 · 24 works · 614 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 186 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #3021

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

🎓Westlake UniversityHangzhou · China2023–2026 · 13 paperscurrent🎓Wuhan UniversityWuhan · China2020–2022 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Sentiment & emotion · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20231 paperQiji Zhou's papers of 202320201 paperQiji Zhou's papers of 2020

 Papers

The most cited first (OpenAlex and our library).

  1. Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification (2020 · 397 citations)
    The paper addresses aspect-based sentiment classification: deciding the polarity a sentence expresses toward a particular aspect, such as positive about "battery life" but negative about "memory" in the same review.
  2. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4 (2023 · 215 citations)
    Are ChatGPT and GPT-4 really strong at logic-heavy language tasks? The authors test both models on two task families.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Tang, Donghong Ji, Chenliang Li, et al.2020 · 397 citations
  2. Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4arXiv:2304.03439Hanmeng Liu, Ruoxi Ning, Zhiyang Teng, et al.2023 · 215 citations
  3. AMR Parsing with Latent Structural Information ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetQiji Zhou et al.2020 · 45 citations
  4. AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) · no summary yetJunshu Pan et al.2026 · 1 citation

 Co-authors here

7 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 186 times (of the 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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