--- title: "Meng Luo — author profile and papers — Elamur Research" description: "Meng Luo: 2 papers on Elamur Research (2024–2025) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/meng-luo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/meng-luo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Meng Luo # Meng Luo Meng Luo has 2 papers in our library, in 2024–2025, 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/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Guangtao Zeng](https://md.research.elamur.ai/free/en/authors/guangtao-zeng/), [Hao Fei](https://md.research.elamur.ai/free/en/authors/hao-fei/), [Jianbo Dai](https://md.research.elamur.ai/free/en/authors/jianbo-dai/). 2 papers in our library · 2024–2025 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/meng-luo/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/meng-luo/cited-by/) · [⭐ Paper Stars ranking: #8636](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8636) 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=Meng+Luo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Meng+Luo) · [dblp](https://dblp.org/search?q=Meng+Luo) · [ACL Anthology](https://aclanthology.org/search/?q=Meng+Luo) ## 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 · 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/meng-luo/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/meng-luo/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework](https://md.research.elamur.ai/free/en/papers/xu-2025-aristotle-mastering-logical-reasoning-logic/)** *(2025 · 16 citations)* Large language models still struggle with logical reasoning. General search-based methods such as ToT and GoT ignore the formal structure of logic problems: they split tasks along surface wording, depend on unreliable LLM evaluators to choose paths, and make logical slips when solving sub-steps. The authors present… 2. **[EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning](https://md.research.elamur.ai/free/en/papers/huang-2024-efficoder-enhancing-code-generation-large/)** *(2024 · 11 citations)* Code-generating LLMs are usually tuned for correctness, but the programs they produce often run slower and use more memory than human-written reference solutions. ## Co-authors here 12 co-authors with a page, the most papers together first. - [Guangtao Zeng](https://md.research.elamur.ai/free/en/authors/guangtao-zeng/) - [Hao Fei](https://md.research.elamur.ai/free/en/authors/hao-fei/) - [Jianbo Dai](https://md.research.elamur.ai/free/en/authors/jianbo-dai/) - [Jie M. Zhang](https://md.research.elamur.ai/free/en/authors/jie-m-zhang/) - [Jundong Xu](https://md.research.elamur.ai/free/en/authors/jundong-xu/) - [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/) - [Mong-Li Lee](https://md.research.elamur.ai/free/en/authors/mong-li-lee/) - [Preslav Nakov](https://md.research.elamur.ai/free/en/authors/preslav-nakov/) - [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) - [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) - [Wynne Hsu](https://md.research.elamur.ai/free/en/authors/wynne-hsu/) - [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/) ## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/meng-luo/cited-by/). Updated 31 October 2026