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Wei Zhou

Wei Zhou has 8 papers in our library, in 2023–2026, most of them on Language models & pretraining, Question answering, Evaluation & benchmarks; often with Annemarie Friedrich, Bolei Ma, Dongnan Liu.

8 papers in our library · 2023–2026

OpenAlex · h-index 1 · 7 works · 3 citations OpenAlex, 2026-10-14

📄 8 works in our library · 🔗 Cited 30 times in our library · ⭐ Paper Stars ranking: #7606

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

🏢Ant GroupHangzhou · China2026 · 2 paperscurrent🎓City University of Hong KongHong Kong · China2026 · 2 paperscurrent🎓Yunnan UniversityKunming · China2026 · 2 paperscurrent🎓Zhejiang UniversityHangzhou · China2026 · 2 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Institute of Information EngineeringBeijing · China2026 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent

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 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 8 worksComputer Science · 8 worksLanguage and Linguistics · 8 worksArtificial Intelligence · 7 worksComputer Vision and Pattern Recognition · 3 worksDevelopmental and Educational Psychology · 1 workInformation Systems · 1 workPsychology · 1 work

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 2 worksQuestion answering · 2 worksEnglish · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Implicature · 1 work

 Works by year

2020s

20266 papers20251 paper20231 paper

 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 (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 (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 (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 (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 (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 (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 (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 (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.

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 30 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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