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Yiran Ding

Yiran Ding has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Changze Lv, Chengruidong Zhang, Fan Yang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 25 · 108 works · 2,218 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 127 times in our library · ⭐ Paper Stars ranking: #6291

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

🎓Xinjiang Normal UniversityÜrümqi · China2026 · 1 papercurrent🎓Wuhan UniversityWuhan · China2019–2025 · 24 papers🎓Wuhan University of TechnologyWuhan · China2018–2024 · 14 papers🎓Huazhong University of Science and TechnologyWuhan · China2022–2025 · 8 papers🎓Southwest UniversityChongqing · China2017–2021 · 8 papers🎓Beijing Forestry UniversityBeijing · China2020–2023 · 7 papers🎓Chongqing Normal UniversityChongqing · China2016–2019 · 7 papers🎓Dalian Polytechnic UniversityDalian · China2025 · 2 papers🎓University of CalgaryCalgary · Canada2024–2025 · 2 papers🎓University of ManitobaWinnipeg · Canada2017–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens (2024 · 142 citations)
    Most large language models can only work with a fixed span of text. LLaMA2, for example, is limited to 4096 tokens, and earlier extension methods stopped around 128k. Going further is hard for three reasons: unseen position indices destabilize training, very long training texts are scarce and expensive to use, and…
  2. Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling (2026)
    Long-context LLMs that use RoPE tend to concentrate attention on the start and end of the input. As a result, they underuse content in the middle, a problem known as "lost-in-the-middle." Earlier fixes such as Attention Buckets, MoICE and Ms-PoE mix several RoPE bases or scales. However, they need repeated forward…

 Co-authors here

12 of 16 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 127 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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