--- title: "Huan Zhao · 4Thparadigm — author profile and papers" description: "Huan Zhao, 4Thparadigm: 3 papers on Elamur Research (2023–2026), h-index 21 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/huan-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huan-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huan Zhao # Huan Zhao Huan Zhao has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/), [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/), [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5101478660) · [ORCID](https://orcid.org/0000-0002-0320-8718) · [Wikidata](https://www.wikidata.org/wiki/Q130947512) · [**h-index 21**](https://openalex.org/authors/A5101478660) · [59 works](https://openalex.org/works?filter=author.id:A5101478660) · [2,851 citations](https://openalex.org/works?filter=author.id:A5101478660&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huan-zhao/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/huan-zhao/cited-by/) · [⭐ Paper Stars ranking: #6450](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6450) 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=Huan+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huan+Zhao) · [dblp](https://dblp.org/search?q=Huan+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Huan+Zhao) ## Affiliations [🏢**4Thparadigm** Beijing 2021–2025 · 5 papers*current*](https://ror.org/00x4k9h67) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2014–2021 · 13 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Tsinghua University** Beijing · China 2012–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Alibaba Group** Hangzhou · China 2019 · 3 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 4 Research subjects and languages the work is about.[Information extraction · 2 works](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-zhao/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-zhao/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/huan-zhao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Feasibility of ChatGPT for Event Extraction](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/)** *(2023 · 115 citations)* The paper asks whether ChatGPT can perform event extraction from a prompt alone, without task-specific training data or fine-tuning. 2. **[EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-eventrl-enhancing-event-extraction-outcome/)** *(2024 · 11 citations)* LLMs used for event extraction (EE) often break the task schema. They attach arguments that a given event type does not allow, or they invent event types that the instructions never defined. The authors argue that Supervised Fine-Tuning (SFT) handles these errors poorly. Under NLL loss, a wrong type or role may… 3. **[EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving](https://md.research.elamur.ai/free/en/papers/zhou-2026-engibench-benchmark-evaluating-large-language/)** *(2026 · 3 citations)* Math benchmarks such as GSM8K and MATH test LLMs on clean, fully specified problems. Real engineering work is different: it involves physical context, missing information, competing goals and uncertainty. EngiBench is designed to measure how LLMs handle such tasks and to diagnose where they fail. Problems from many… ## Co-authors here 8 co-authors with a page, the most papers together first. - [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/) ×2 - [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/) ×2 - [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/) ×2 - [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/) - [Wenxuan Liu](https://md.research.elamur.ai/free/en/authors/wenxuan-liu/) - [Yan Xu](https://md.research.elamur.ai/free/en/authors/yan-xu/) - [Yuheng Cheng](https://md.research.elamur.ai/free/en/authors/yuheng-cheng/) - [Yulu Xie](https://md.research.elamur.ai/free/en/authors/yulu-xie/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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 70 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/huan-zhao/cited-by/). Updated 31 October 2026