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Yuming Yang

Yuming Yang has 3 papers in our library, in 2025–2026, most of them on Named entity recognition, Language models & pretraining, Evaluation & benchmarks; often with Junjie Ye, Tao Gui, Xiao Wang.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 18 works · 14 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 21 times in our library · ⭐ Paper Stars ranking: #8675

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

🎓Chongqing UniversityChongqing · China2024–2026 · 5 paperscurrent🎓Fudan UniversityShanghai · China2024–2025 · 7 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workNamed entity recognition · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition (2025 · 11 citations)
    Open NER requires a model to find entities of any requested type in text from any domain, and even strong LLMs such as GPT-4 perform poorly at it.
  2. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric (2025 · 11 citations)
    Diversity is widely seen as a key property of instruction-tuning (IT) data, yet there is no agreed way to quantify it.
  3. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment (2026 · 4 citations)
    Distilling reasoning from a teacher LLM into a student through SFT on long chain-of-thought (CoT) traces does not reliably improve with teacher strength.

 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 21 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

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