--- title: "Longhui Yu — author profile and papers — Elamur Research" description: "Longhui Yu: 3 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/longhui-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/longhui-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Longhui Yu # Longhui Yu Longhui Yu has 3 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/), [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/), [Weisen Jiang](https://md.research.elamur.ai/free/en/authors/weisen-jiang/). 3 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/longhui-yu/#papers) · [🔗 Cited 623 times in our library](https://md.research.elamur.ai/free/en/authors/longhui-yu/cited-by/) · [⭐ Paper Stars ranking: #3671](https://md.research.elamur.ai/free/en/paper-stars/page/37/#star-3671) 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=Longhui+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Longhui+Yu) · [dblp](https://dblp.org/search?q=Longhui+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Longhui+Yu) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/longhui-yu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/longhui-yu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)** *(2023 · 565 citations)* Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset… 2. **[Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision](https://md.research.elamur.ai/free/en/papers/sun-2024-easy-hard-generalization-scalable-alignment/)** *(2024 · 51 citations)* Current alignment methods learn from human demonstrations or human judgments, so a model's skill may be capped at what people can supervise. 3. **[Forward-Backward Reasoning in Large Language Models for Mathematical Verification](https://md.research.elamur.ai/free/en/papers/jiang-2024-forward-backward-reasoning-large-language/)** *(2024 · 44 citations)* The paper addresses a limitation of Self-Consistency in chain-of-thought math solving. Self-Consistency picks the answer that most sampled reasoning chains agree on, and its gains level off as more chains are sampled. Many of its errors are still recoverable, because some sampled chain often reaches the right answer… ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/) ×2 - [James Tin-Yau Kwok](https://md.research.elamur.ai/free/en/authors/james-tin-yau-kwok/) ×2 - [Weisen Jiang](https://md.research.elamur.ai/free/en/authors/weisen-jiang/) ×2 - [Weiyang Liu](https://md.research.elamur.ai/free/en/authors/weiyang-liu/) ×2 - [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/) ×2 - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×2 - [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×2 - [Adrian Weller](https://md.research.elamur.ai/free/en/authors/adrian-weller/) - [Chuang Gan](https://md.research.elamur.ai/free/en/authors/chuang-gan/) - [Jincheng Yu](https://md.research.elamur.ai/free/en/authors/jincheng-yu/) - [Sean Welleck](https://md.research.elamur.ai/free/en/authors/sean-welleck/) - [Yikang Shen](https://md.research.elamur.ai/free/en/authors/yikang-shen/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 623 times (of the 149,439 papers whose bibliographies we read); [245 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/longhui-yu/cited-by/). Updated 3 November 2026