--- title: "Yanghui Rao — author profile and papers — Elamur Research" description: "Yanghui Rao, Sun Yat-sen University: 2 papers on Elamur Research (2026), h-index 23 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yanghui-rao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yanghui-rao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yanghui Rao # Yanghui Rao Yanghui Rao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Zhiyu Shen](https://md.research.elamur.ai/free/en/authors/zhiyu-shen/), [Jianxing Yu](https://md.research.elamur.ai/free/en/authors/jianxing-yu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5058291454) · [ORCID](https://orcid.org/0000-0003-1610-9599) · [**h-index 23**](https://openalex.org/authors/A5058291454) · [123 works](https://openalex.org/works?filter=author.id:A5058291454) · [2,016 citations](https://openalex.org/works?filter=author.id:A5058291454&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yanghui-rao/#papers) · 🔗 Cited 3 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #12297](https://md.research.elamur.ai/free/en/paper-stars/page/123/#star-12297) 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=Yanghui+Rao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yanghui+Rao) · [dblp](https://dblp.org/search?q=Yanghui+Rao) · [ACL Anthology](https://aclanthology.org/search/?q=Yanghui+Rao) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2015–2026 · 113 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2012–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yanghui-rao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions](https://md.research.elamur.ai/free/en/papers/shen-2026-hopweaver-cross-document-synthesis-high/)** *(2026)* Building multi-hop QA (MHQA) datasets by hand is expensive. Automatic generators usually need curated evidence or knowledge graphs, or they produce questions that one document alone can answer. HopWeaver is a pipeline that works from a raw text corpus with no human in the loop. It produces two question types: bridge… 2. **[MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards](https://md.research.elamur.ai/free/en/papers/shen-2026-membuilder-reinforcing-llms-long-term/)** *(2026)* Long multi-session conversations are hard for LLMs because plain retrieval treats past text as isolated chunks and misses how facts change over time. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning ↗](https://aclanthology.org/2025.coling-main.608/) Proceedings of the 31st International Conference on Computational Linguistics · no summary yet**Ziqi Qiu et al.*2025 · 4 citations* 2. **[HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions](https://md.research.elamur.ai/free/en/papers/shen-2026-hopweaver-cross-document-synthesis-high/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyu Shen, Jiyuan Liu, Yunhe Pang, et al.*2026* 3. **[MemBuilder: Reinforcing LLMs for Long-Term Memory Construction via Attributed Dense Rewards](https://md.research.elamur.ai/free/en/papers/shen-2026-membuilder-reinforcing-llms-long-term/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyu Shen, Ziming Wu, Fuming Lai, et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Zhiyu Shen](https://md.research.elamur.ai/free/en/authors/zhiyu-shen/) ×2 - [Jianxing Yu](https://md.research.elamur.ai/free/en/authors/jianxing-yu/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - Proceedings of the 31st International Conference on Computational Linguistics ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026