--- title: "Weiqi Wang — author profile and papers — Elamur Research" description: "Weiqi Wang: 5 papers on Elamur Research (2024–2026), h-index 15 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/weiqi-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weiqi-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weiqi Wang # Weiqi Wang Weiqi Wang has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Yangqiu Song](https://md.research.elamur.ai/free/en/authors/yangqiu-song/), [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/), [Baixuan Xu](https://md.research.elamur.ai/free/en/authors/baixuan-xu/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100601726) · [ORCID](https://orcid.org/0000-0002-1617-9805) · [Wikidata](https://www.wikidata.org/wiki/Q130801830) · [**h-index 15**](https://openalex.org/authors/A5100601726) · [102 works](https://openalex.org/works?filter=author.id:A5100601726) · [842 citations](https://openalex.org/works?filter=author.id:A5100601726&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/weiqi-wang/#papers) · [🔗 Cited 125 times in our library](https://md.research.elamur.ai/free/en/authors/weiqi-wang/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6674](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6674) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Weiqi+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Weiqi+Wang) · [dblp](https://dblp.org/search?q=Weiqi+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Weiqi+Wang) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2018–2026 · 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](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**Amazon** Seattle · United States 2025–2026 · 5 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2021–2026 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/weiqi-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/weiqi-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/weiqi-wang/year/2024/) ## 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](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/)** *(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](https://md.research.elamur.ai/free/en/papers/chen-2025-unmasking-deceptive-visuals-benchmarking-multimodal/)** *(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?](https://md.research.elamur.ai/free/en/papers/liu-2025-revisiting-epistemic-markers-confidence-estimation/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-arxiv2table-realistic-benchmarking-evaluation-llm/)** *(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](https://md.research.elamur.ai/free/en/papers/shi-2026-inferencedynamics-adaptive-llm-routing-through/)** *(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 Relations](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al.*2024 · 92 citations* 2. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery ↗](https://arxiv.org/abs/2505.13259) arXiv:2505.13259 · no summary yet**Tianshi Zheng et al.*2025 · 39 citations* 3. **[Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2025-unmasking-deceptive-visuals-benchmarking-multimodal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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?](https://md.research.elamur.ai/free/en/papers/liu-2025-revisiting-epistemic-markers-confidence-estimation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayu Liu, Qing Zong, Weiqi Wang, et al.*2025 · 8 citations* 5. **[Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents ↗](https://arxiv.org/abs/2505.14104) arXiv:2505.14104 · no summary yet**Wei Fan et al.*2025 · 3 citations* 6. **[arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-arxiv2table-realistic-benchmarking-evaluation-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiqi Wang, Jiefu Ou, Yangqiu Song, et al.*2026 · 1 citation* 7. **[InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling](https://md.research.elamur.ai/free/en/papers/shi-2026-inferencedynamics-adaptive-llm-routing-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 ↗](https://aclanthology.org/2026.findings-acl.826/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yuqi Yang et al.*2026* ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Yangqiu Song](https://md.research.elamur.ai/free/en/authors/yangqiu-song/) ×4 - [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/) ×2 - [Baixuan Xu](https://md.research.elamur.ai/free/en/authors/baixuan-xu/) - [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) - [Cheng Jiayang](https://md.research.elamur.ai/free/en/authors/cheng-jiayang/) - [Chunyang Li](https://md.research.elamur.ai/free/en/authors/chunyang-li/) - [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/) - [Jiayu Liu](https://md.research.elamur.ai/free/en/authors/jiayu-liu/) - [Jiefu Ou](https://md.research.elamur.ai/free/en/authors/jiefu-ou/) - [KaShun Shum](https://md.research.elamur.ai/free/en/authors/kashun-shum/) - [Qing Zong](https://md.research.elamur.ai/free/en/authors/qing-zong/) - [Tao Fan](https://md.research.elamur.ai/free/en/authors/tao-fan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - Findings of the Association for Computational Linguistics: ACL 2026 ## 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 →](https://md.research.elamur.ai/free/en/authors/weiqi-wang/cited-by/). Updated 31 October 2026