--- title: "Fanghua Ye — author profile and papers — Elamur Research" description: "Fanghua Ye: 7 papers on Elamur Research (2022–2026), h-index 19 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/fanghua-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fanghua-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Fanghua Ye # Fanghua Ye Fanghua Ye has 7 papers in our library, in 2022–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Ruotian Ma](https://md.research.elamur.ai/free/en/authors/ruotian-ma/), [Xingyu Chen](https://md.research.elamur.ai/free/en/authors/xingyu-chen/), [Qingxuan Jiang](https://md.research.elamur.ai/free/en/authors/qingxuan-jiang/). 7 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5078520300) · [ORCID](https://orcid.org/0000-0002-1063-6534) · [**h-index 19**](https://openalex.org/authors/A5078520300) · [74 works](https://openalex.org/works?filter=author.id:A5078520300) · [1,255 citations](https://openalex.org/works?filter=author.id:A5078520300&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/fanghua-ye/#papers) · [🔗 Cited 110 times in our library](https://md.research.elamur.ai/free/en/authors/fanghua-ye/cited-by/) · [⭐ Paper Stars ranking: #6393](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6393) 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=Fanghua+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fanghua+Ye) · [dblp](https://dblp.org/search?q=Fanghua+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Fanghua+Ye) ## Affiliations [🎓**University College London** London · United Kingdom 2019–2025 · 36 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**Sun Yat-sen University** Guangzhou · China 2017–2020 · 20 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏢**Tencent** Shenzhen · China 2024–2026 · 18 papers](https://md.research.elamur.ai/free/en/companies/tencent/) 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 10 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Economics and Econometrics · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/economics-and-econometrics/) · [Economics, Econometrics and Finance · 1 work](https://md.research.elamur.ai/free/en/shelves/economics-econometrics-and-finance/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 5 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [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/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/fanghua-ye/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/fanghua-ye/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/fanghua-ye/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation](https://md.research.elamur.ai/free/en/papers/ye-2022-multiwoz-2-4-multi-domain/)** *(2022 · 131 citations)* Dialogue state tracking research relies heavily on MultiWOZ, but even its corrected releases (2.1–2.3) still have many wrong or inconsistent state labels. 2. **[Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/)** *(2025 · 65 citations)* The paper asks whether the six classic obstacles for neural MT identified by Koehn and Knowles (2017) still apply when translation is done by decoder-only LLMs. 3. **[Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-sentient-agent-as-judge-evaluating/)** *(2026 · 6 citations)* Standard LLM leaderboards reward textual skill and helpfulness, but they rarely check whether a model actually reads people well. 4. **[Too Good to be Bad: On the Failure of LLMs to Role-Play Villains](https://md.research.elamur.ai/free/en/papers/yi-2026-too-good-be-bad-failure/)** *(2026 · 3 citations)* LLMs are increasingly used for interactive fiction, games and co-written stories, yet nobody had systematically checked whether they can convincingly play antagonists. 5. **[Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-context-fidelity-boosting-enhancing-faithful/)** *(2026 · 1 citation)* When LLMs answer questions or summarize from a supplied passage, they often fall back on knowledge memorized in pretraining. 6. **[BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-batonvoice-operationalist-framework-enhancing-controllable/)** *(2026)* Current LLM-based text-to-speech systems mostly use the LLM as a backbone for generating speech tokens. Controllable synthesis then depends on costly, inconsistent human annotation of speech with style labels, and the model's instruction-following ability goes largely unused. Inspired by operationalism, the authors… 7. **[Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator](https://md.research.elamur.ai/free/en/papers/shi-2026-social-welfare-function-leaderboard-emergence/)** *(2026)* LLMs are increasingly used in consequential settings, but little is known about the values they apply when distributing scarce resources. ## Co-authors here 12 of 30 co-authors with a page, the most papers together first. - [Ruotian Ma](https://md.research.elamur.ai/free/en/authors/ruotian-ma/) ×4 - [Xingyu Chen](https://md.research.elamur.ai/free/en/authors/xingyu-chen/) ×4 - [Qingxuan Jiang](https://md.research.elamur.ai/free/en/authors/qingxuan-jiang/) ×3 - [Qu Yang](https://md.research.elamur.ai/free/en/authors/qu-yang/) ×3 - [Yue Wang](https://md.research.elamur.ai/free/en/authors/yue-wang/) ×3 - [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ×3 - [Jian Li](https://md.research.elamur.ai/free/en/authors/jian-li/) ×2 - [Mengru Wang](https://md.research.elamur.ai/free/en/authors/mengru-wang/) ×2 - [Xiaolong Li](https://md.research.elamur.ai/free/en/authors/xiaolong-li/) ×2 - [Zhengliang Shi](https://md.research.elamur.ai/free/en/authors/zhengliang-shi/) ×2 - [Bang Zhang](https://md.research.elamur.ai/free/en/authors/bang-zhang/) - [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/) ## 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/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/): [SIGDIAL 2022](https://md.research.elamur.ai/free/en/venues/sigdial/2022/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2025](https://md.research.elamur.ai/free/en/venues/tacl/2025/) ## Cited by Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fanghua-ye/cited-by/). Updated 1 November 2026