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Ensheng Shi

Ensheng Shi has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Code & programming languages; often with Yuchi Ma, Hongyu Zhang, Jiachi Chen.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 12 · 51 works · 599 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #12924

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

🎓Xi'an Jiaotong UniversityXi'an · China2021–2026 · 21 paperscurrent🏢Huawei TechnologiesShenzhen · China2025–2026 · 14 paperscurrent🔬Cloud Computing CenterDongguan · China2026 · 3 paperscurrent🏢Huawei TechnologiesPlano · United States2026 · 3 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Code & programming languages · 1 workInterpretability · 1 workLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models (2026 · 1 citation)
    Code-focused LLMs usually improve through supervised instruction tuning on curated problem–solution pairs, or on synthetic data derived from real code snippets.
  2. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA (2026)
    Developers often turn to LLMs for factual knowledge about tools, APIs and frameworks, but benchmarks for this Dev Knowledge QA task are narrow in the knowledge they cover and seldom rest on genuine user questions.

 Co-authors here

12 of 15 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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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