Elamur Research⌕
☰
home / authors / Yongqi Leng

Yongqi Leng

Yongqi Leng has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Deyi Xiong, Linhao Yu, Yuqi Ren.

2 papers in our library · 2025–2026

OpenAlex · h-index 3 · 20 works · 14 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 9 times in our library · ⭐ Paper Stars ranking: #9983

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

🎓Tianjin UniversityTianjin · China2023–2026 · 15 paperscurrent

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 10The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 1 workArts and Humanities · 1 workComputer Science · 1 workLanguage and Linguistics · 1 workCognitive Neuroscience · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 workNeuroscience · 1 workSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons (2025 · 9 citations)
    Large language models handle many tasks after instruction tuning, but it is still unclear how they share and separate task knowledge internally.
  2. Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts (2026 · 1 citation)
    Most moral evaluations of LLMs score answers one item at a time. They do not show how a model ranks competing values against each other as a whole system. This paper addresses that gap by adapting Q methodology so that humans and models complete the same task. The authors built a 140-item English Q-set based on…

 Co-authors here

3 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 9 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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