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Lida Shi

Lida Shi has 2 papers in our library, in 2026, most of them on Language models & pretraining, Vision & language; often with Hao Xu, Rui Song, Yingji Li.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 7 · 34 works · 244 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13732

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

🎓Jilin UniversityChangchun · China2020–2026 · 27 paperscurrent🎓Chongqing UniversityChongqing · China2026 · 1 papercurrent🎓University College LondonLondon · United Kingdom2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workLiterature and Literary Theory · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ACSE: An Ancient Character Semantic-Aware Embedding for Large Language Models (2026)
    Large language models handle transmitted classical Chinese reasonably well, yet they falter on excavated writings from the pre-Qin era, including the Bamboo Book of Chu, Bronze Inscriptions, and Oracle Bone Inscriptions.
  2. Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning (2026)
    Large multimodal models are increasingly applied to ancient Chinese scripts, but no one has systematically tested whether they can follow how individual characters changed shape over time.

 Co-authors here

4 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.

Updated

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