--- title: "Wei Zhou — author profile and papers — Elamur Research" description: "Wei Zhou, City University of Hong Kong: 8 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/wei-zhou/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-zhou/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wei Zhou # Wei Zhou Wei Zhou has 8 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Annemarie Friedrich](https://md.research.elamur.ai/free/en/authors/annemarie-friedrich/), [Bolei Ma](https://md.research.elamur.ai/free/en/authors/bolei-ma/), [Dongnan Liu](https://md.research.elamur.ai/free/en/authors/dongnan-liu/). 8 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139783236) · [**h-index 1**](https://openalex.org/authors/A5139783236) · [7 works](https://openalex.org/works?filter=author.id:A5139783236) · [3 citations](https://openalex.org/works?filter=author.id:A5139783236&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 8 works in our library](https://md.research.elamur.ai/free/en/authors/wei-zhou/#papers) · [🔗 Cited 30 times in our library](https://md.research.elamur.ai/free/en/authors/wei-zhou/cited-by/) · [⭐ Paper Stars ranking: #7606](https://md.research.elamur.ai/free/en/paper-stars/page/77/#star-7606) 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=Wei+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei+Zhou) · [dblp](https://dblp.org/search?q=Wei+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Wei+Zhou) ## Affiliations [🏢**Ant Group** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**City University of Hong Kong** Hong Kong · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🎓**Yunnan University** Kunming · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/yunnan-university/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 8 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 8 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 8 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/) ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/wei-zhou/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-zhou/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-zhou/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges](https://md.research.elamur.ai/free/en/papers/ma-2025-pragmatics-era-large-language-models/)** *(2025 · 49 citations)* The survey examines how the pragmatic competence of language models is evaluated, that is, their ability to understand meaning that depends on context and does not follow from the literal content of words. 2. **[Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering](https://md.research.elamur.ai/free/en/papers/tang-2026-exploring-generative-process-reward-modeling/)** *(2026 · 2 citations)* Process reward models (PRMs) score each step of a candidate solution and then pick the best answer. They have worked well for math, but nobody had tested them on reasoning over semi-structured data. This short paper is the first systematic look at PRMs for table question answering (TQA). Tables add specific… 3. **[Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation](https://md.research.elamur.ai/free/en/papers/zhou-2026-table-question-answering-era-large/)** *(2026 · 2 citations)* LLMs and multimodal LLMs have pushed table question answering (TQA) forward quickly. Yet the field still has no unified account of how tasks are defined, what makes them hard, and where methods are heading, including newer threads like reinforcement learning. Zhou, Ma, Friedrich and Mesgar address this with a survey… 4. **[Enhancing English Writing Proficiency in China's Polytechnic Students An In-Depth Literature Review on the Application of the Input Hypothesis](https://md.research.elamur.ai/free/en/papers/zhou-2023-enhancing-english-writing-proficiency-china/)** *(2023 · 2 citations)* This paper by Wei Zhou is a literature review. It asks whether Stephen Krashen's Input Hypothesis can help students at Chinese polytechnic (higher vocational) colleges write better in English. These students need practical English at work, such as reading product descriptions and manuals and writing reports. Many of… 5. **[HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy](https://md.research.elamur.ai/free/en/papers/xu-2026-had-hallucination-detection-language-models/)** *(2026 · 1 citation)* Large language models often produce fluent text that is wrong or that drifts from the given instruction or input. 6. **[Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents](https://md.research.elamur.ai/free/en/papers/shen-2026-mem2actbench-benchmark-evaluating-long-term/)** *(2026 · 1 citation)* Most memory benchmarks for LLM agents check whether a system can recall a stored fact when asked directly. 7. **[CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs](https://md.research.elamur.ai/free/en/papers/qi-2026-carl-constraint-aware-reinforcement-learning/)** *(2026)* LLMs often produce plans that look plausible but break the conditions stated in a request, such as a budget, a travel mode, or a dietary preference. 8. **[STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training](https://md.research.elamur.ai/free/en/papers/qi-2026-stapo-selective-trajectory-aware-policy/)** *(2026)* Agents built on LLMs and trained with reinforcement learning for long-horizon tasks get sparse, delayed rewards. ## Co-authors here 12 of 25 co-authors with a page, the most papers together first. - [Annemarie Friedrich](https://md.research.elamur.ai/free/en/authors/annemarie-friedrich/) ×2 - [Bolei Ma](https://md.research.elamur.ai/free/en/authors/bolei-ma/) ×2 - [Dongnan Liu](https://md.research.elamur.ai/free/en/authors/dongnan-liu/) ×2 - [Feng Zhang](https://md.research.elamur.ai/free/en/authors/feng-zhang/) ×2 - [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/) ×2 - [Jinjian Zhang](https://md.research.elamur.ai/free/en/authors/jinjian-zhang/) ×2 - [Linjian Mo](https://md.research.elamur.ai/free/en/authors/linjian-mo/) ×2 - [Ming Kong](https://md.research.elamur.ai/free/en/authors/ming-kong/) ×2 - [Mohsen Mesgar](https://md.research.elamur.ai/free/en/authors/mohsen-mesgar/) ×2 - [Mutian Bao](https://md.research.elamur.ai/free/en/authors/mutian-bao/) ×2 - [Qiang Zhu](https://md.research.elamur.ai/free/en/authors/qiang-zhu/) ×2 - [Qiuyi Qi](https://md.research.elamur.ai/free/en/authors/qiuyi-qi/) ×2 ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×4, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wei-zhou/cited-by/). Updated 1 November 2026