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Weiqi Wang

Weiqi Wang has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Discourse analysis, Question answering; often with Yangqiu Song, Chunkit Chan, Baixuan Xu.

5 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 15 · 102 works · 842 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 125 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6674

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2018–2026 · 67 papersEducation 2018–2022 · Bachelor Degree in Computer Science and Mathematics, Department of Computer Science and EngineeringEducation 2022–2026 · PhD in Computer Science and Engineering, Department of Computer Science and Engineering🏢AmazonSeattle · United States2025–2026 · 5 papers🎓University of Hong KongPok Fu Lam · China2021–2026 · 3 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 2 works

🧭 Topics 4Research subjects and languages the work is about.Discourse analysis · 1 workLanguage models & pretraining · 2 worksQuestion answering · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations (2024 · 92 citations)
    The paper asks whether ChatGPT grasps relations that hold between sentences, which require more than surface-level reading.
  2. Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering (2025 · 9 citations)
    Charts can be designed to deceive, for example through truncated axes or selectively filtered data. Multimodal large language models (MLLMs) are good at reading charts, but no one had systematically tested whether they notice such manipulation. The authors address this with the Misleading ChartQA benchmark.
  3. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty? (2025 · 8 citations)
    The paper asks whether large language models use verbal epistemic markers, such as "fairly certain," in a way that consistently tracks how often they are actually right.
  4. arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation (2026 · 1 citation)
    The paper argues that current evaluations of LLM-generated literature-review tables are too idealized. They assume every supplied paper belongs in the table, and they use the gold table's caption as the target, which is either too vague or reveals the expected columns. The authors build arXiv2Table, a benchmark…
  5. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling (2026 · 1 citation)
    Choosing which large language model should answer a given query becomes difficult as the number of specialized models grows.

All works

8 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsFindings of the Association for Computational LinguisticsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
  2. From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery ↗arXiv:2505.13259 · no summary yetTianshi Zheng et al.2025 · 39 citations
  3. Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Zixin Chen, Sicheng Song, KaShun Shum, et al.2025 · 9 citations
  4. Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?Annual Meeting of the Association for Computational Linguistics (ACL)Jiayu Liu, Qing Zong, Weiqi Wang, et al.2025 · 8 citations
  5. Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents ↗arXiv:2505.14104 · no summary yetWei Fan et al.2025 · 3 citations
  6. arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqi Wang, Jiefu Ou, Yangqiu Song, et al.2026 · 1 citation
  7. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
  8. SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYuqi Yang et al.2026

 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 125 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

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