--- title: "Jianbo Dai · University of Edinburgh — author profile and papers" description: "Jianbo Dai, University of Edinburgh: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jianbo-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jianbo-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jianbo Dai # Jianbo Dai Jianbo Dai has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/), [Guangtao Zeng](https://md.research.elamur.ai/free/en/authors/guangtao-zeng/), [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5113223471) · [**h-index 2**](https://openalex.org/authors/A5113223471) · [5 works](https://openalex.org/works?filter=author.id:A5113223471) · [13 citations](https://openalex.org/works?filter=author.id:A5113223471&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jianbo-dai/#papers) · [🔗 Cited 33 times in our library](https://md.research.elamur.ai/free/en/authors/jianbo-dai/cited-by/) · [⭐ Paper Stars ranking: #8134](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8134) 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=Jianbo+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jianbo+Dai) · [dblp](https://dblp.org/search?q=Jianbo+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Jianbo+Dai) ## Affiliations [🎓**University of Edinburgh** Edinburgh · United Kingdom 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) 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 8 The field of science this work belongs to (OpenAlex fields).[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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[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 [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/jianbo-dai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[AutoPSV: Automated Process-Supervised Verifier](https://md.research.elamur.ai/free/en/papers/lu-2024-autopsv-automated-process-supervised-verifier/)** *(2024 · 28 citations)* Process-supervised verifiers judge each reasoning step of an LLM solution, which makes them better at reranking answers than outcome-only verifiers. Their weakness is the cost of step labels, which come either from skilled human annotators or from heavy Monte Carlo tree search (MCTS) sampling. AutoPSV avoids both. 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 7 co-authors with a page, the most papers together first. - [Zhijiang Guo](https://md.research.elamur.ai/free/en/authors/zhijiang-guo/) ×2 - [Guangtao Zeng](https://md.research.elamur.ai/free/en/authors/guangtao-zeng/) - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) - [Jianqiao Lu](https://md.research.elamur.ai/free/en/authors/jianqiao-lu/) - [Jie M. Zhang](https://md.research.elamur.ai/free/en/authors/jie-m-zhang/) - [Meng Luo](https://md.research.elamur.ai/free/en/authors/meng-luo/) - [Yingjia Wan](https://md.research.elamur.ai/free/en/authors/yingjia-wan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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 33 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianbo-dai/cited-by/). Updated 31 October 2026