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Jianbo Dai

Jianbo Dai has 2 papers in our library, in 2024, most of them on Language models & pretraining, Code & programming languages; often with Zhijiang Guo, Guangtao Zeng, Hongru Wang.

2 papers in our library · 2024

OpenAlex · h-index 2 · 5 works · 13 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 33 times in our library · ⭐ Paper Stars ranking: #8134

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of EdinburghEdinburgh · United Kingdom2024–2025 · 2 paperscurrent

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputational Theory and Mathematics · 1 workSoftware · 1 workArts and Humanities · 1 workComputer Science Applications · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Code & programming languages · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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