--- title: "Ling Shi · Tianjin University — author profile and papers" description: "Ling Shi, Tianjin University: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ling-shi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ling-shi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ling Shi # Ling Shi Ling Shi has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Bojian Xiong](https://md.research.elamur.ai/free/en/authors/bojian-xiong/), [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/), [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5100427533) · [ORCID](https://orcid.org/0009-0003-5406-8967) · [**h-index 2**](https://openalex.org/authors/A5100427533) · [11 works](https://openalex.org/works?filter=author.id:A5100427533) · [20 citations](https://openalex.org/works?filter=author.id:A5100427533&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ling-shi/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/ling-shi/cited-by/) · [⭐ Paper Stars ranking: #11586](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11586) 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=Ling+Shi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ling+Shi) · [dblp](https://dblp.org/search?q=Ling+Shi) · [ACL Anthology](https://aclanthology.org/search/?q=Ling+Shi) ## Affiliations [🎓**Nanyang Technological University** Singapore · Singapore 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Tianjin University** Tianjin · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Chang'an University** Xi'an · China 2026 · 1 paper*current*](https://ror.org/05mxya461) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ling-shi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/)** *(2026 · 1 citation)* Mainstream LLMs are trained mostly on high-resource languages, so Tibetan remains poorly served despite its millions of speakers and cultural importance. The authors build an end-to-end pipeline to close this gap. 2. **[From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-insight-action-novel-framework-interpretability/)** *(2026)* Sparse Autoencoders (SAEs) and other mechanistic interpretability tools can expose meaningful features inside LLMs, but these findings are rarely used to improve the models themselves. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Bojian Xiong](https://md.research.elamur.ai/free/en/authors/bojian-xiong/) - [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Heng Liu](https://md.research.elamur.ai/free/en/authors/heng-liu/) - [Jiang Zhou](https://md.research.elamur.ai/free/en/authors/jiang-zhou/) - [Jianxiang Peng](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/) - [Junru Wu](https://md.research.elamur.ai/free/en/authors/junru-wu/) - [Lei Yang](https://md.research.elamur.ai/free/en/authors/lei-yang/) - [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/) - [Linlong Xu](https://md.research.elamur.ai/free/en/authors/linlong-xu/) - [Longyue Wang](https://md.research.elamur.ai/free/en/authors/longyue-wang/) - [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/ling-shi/cited-by/). Updated 1 November 2026