Elamur Research⌕
☰
home / authors / Jiechao Gao

Jiechao Gao

Jiechao Gao has 2 papers in our library, in 2026, most of them on Language models & pretraining, Question answering; often with Gautam Siddharth Kashyap, Rafiq Ali, Sushant Kumar Ray.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 24 · 115 works · 2,769 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11555

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

🎓Stanford UniversityStanford · United States2025–2026 · 48 paperscurrent🎓Macquarie UniversitySydney · Australia2026 · 2 paperscurrent🎓University of VirginiaCharlottesville · United States2019–2025 · 67 papers🎓Columbia UniversityNew York · United States2022–2025 · 3 papers🎓Jilin UniversityChangchun · China2015–2016 · 3 papers

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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Do Clinical Question Answering Systems Really Need Specialised Medical Fine Tuning? (2026 · 1 citation)
    The paper questions a common assumption in industrial clinical question answering (CQA): that a model must be fine-tuned on medical data to perform well.
  2. Are Large Language Models Economically Viable for Industry Deployment? (2026)
    Industry teams choosing an LLM must weigh energy, latency, hardware use and cost, but common benchmarks report mostly accuracy.

 Co-authors here

6 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

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jiechao-gao/