--- title: "Yuanzhuo Wang · Wuhan University — author profile and papers" description: "Yuanzhuo Wang, Wuhan University: 6 papers on Elamur Research (2024–2026), h-index 26 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yuanzhuo-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yuanzhuo-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yuanzhuo Wang # Yuanzhuo Wang Yuanzhuo Wang has 6 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/), [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/), [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5057538607) · [ORCID](https://orcid.org/0000-0002-6799-1756) · [Wikidata](https://www.wikidata.org/wiki/Q130822928) · [**h-index 26**](https://openalex.org/authors/A5057538607) · [197 works](https://openalex.org/works?filter=author.id:A5057538607) · [3,481 citations](https://openalex.org/works?filter=author.id:A5057538607&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/#papers) · [🔗 Cited 182 times in our library](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7788](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7788) 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=Yuanzhuo+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuanzhuo+Wang) · [dblp](https://dblp.org/search?q=Yuanzhuo+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Yuanzhuo+Wang) ## Affiliations [🎓**Hubei University** Wuhan · China 2026 · 1 paper*current*](https://ror.org/03a60m280) · [🎓**Wuhan University** Wuhan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2010–2025 · 126 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2010–2025 · 121 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2014–2025 · 20 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Tsinghua University** Beijing · China 2005–2012 · 15 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Science and Technology Beijing** Beijing · China 2005–2010 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🎓**National University of Uzbekistan** Tashkent · Uzbekistan 2025 · 2 papers](https://ror.org/011647w73) · [🎓**Northwest A&F University** Yangling · China 2022 · 2 papers](https://ror.org/0051rme32) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/)** *(2024 · 37 citations)* Hybrid question-answering systems give an LLM two kinds of context: passages it wrote itself and passages retrieved from an external corpus such as Wikipedia. 2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/)** *(2025 · 12 citations)* LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these… 3. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/)** *(2026 · 1 citation)* Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations. 4. **[DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-dataarc-syndata-toolkit-unified-closed/)** *(2026)* Synthetic data can ease data shortages for LLMs in specialised domains and low-resource languages, but current tools tend to be hard for non-experts, rely on inconsistent data formats, and handle extra modalities or languages poorly. 5. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/)** *(2026)* Generative MLLMs that interleave images and text can produce content that looks authoritative but contains factual errors. 6. **[JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-judgeagent-beyond-static-benchmarks-knowledge/)** *(2026)* Static benchmarks for LLMs saturate quickly, cover a fixed slice of knowledge, risk contamination, and pose questions whose difficulty may not suit the model under test. ## All works 13 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning ↗](https://doi.org/10.1145/3404835.3462963) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Zixuan Li et al.*2021 · 409 citations* 2. **[Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ↗](https://aclanthology.org/P18-2066/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Yue Zhao et al.*2018 · 146 citations* 3. **[Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ↗](https://aclanthology.org/2021.acl-long.365/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Zixuan Li et al.*2021 · 124 citations* 4. **[Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling ↗](https://aclanthology.org/D18-1205/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wei Li et al.*2018 · 79 citations* 5. **[NeuInfer: Knowledge Inference on N-ary Facts ↗](https://aclanthology.org/2020.acl-main.546/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Saiping Guan et al.*2020 · 78 citations* 6. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Fei Sun, Wanli Yang, et al.*2024 · 37 citations* 7. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hexiang Tan, Fei Sun, Sha Liu, et al.*2025 · 12 citations* 8. **[BaseCal: Unsupervised Confidence Calibration via Base Model Signals](https://md.research.elamur.ai/free/en/papers/tan-2026-basecal-unsupervised-confidence-calibration-base/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Wanli Yang, Junwei Zhang, et al.*2026 · 1 citation* 9. **[DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-dataarc-syndata-toolkit-unified-closed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhichao Shi, Cehao Yang, Hao Zhou, et al.*2026* 10. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Shan, Kun Zhang, Qiming Xu, et al.*2026* 11. **[JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-judgeagent-beyond-static-benchmarks-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichao Shi, Xuhui Jiang, Chengjin Xu, et al.*2026* 12. **[Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ↗](https://aclanthology.org/2026.acl-long.1370/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tian Xueyun et al.*2026* 13. **[ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding ↗](https://aclanthology.org/2026.findings-acl.1153/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Tian Xueyun et al.*2026* ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/) ×3 - [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/) ×3 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×3 - [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/) ×2 - [Du Su](https://md.research.elamur.ai/free/en/authors/du-su/) ×2 - [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/) ×2 - [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×2 - [Qi Cao](https://md.research.elamur.ai/free/en/authors/qi-cao/) ×2 - [Wanli Yang](https://md.research.elamur.ai/free/en/authors/wanli-yang/) ×2 - [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/) ×2 - [Xuhui Jiang](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/) ×2 - [Zhichao Shi](https://md.research.elamur.ai/free/en/authors/zhichao-shi/) ×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/) ×7: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [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 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Findings of the Association for Computational Linguistics: ACL 2026 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) - Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 182 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/cited-by/). Updated 1 November 2026