Elamur Research⌕
☰
home / authors / Yiyao Yu

Yiyao Yu

Yiyao Yu has 2 papers in our library, in 2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Dongdong Zhang, Furu Wei, Hengyuan Zhang.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 1 · 5 works · 3 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 24 times in our library · ⭐ Paper Stars ranking: #9743

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

🎓Tsinghua UniversityBeijing · China2023–2026 · 5 paperscurrent🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China2023–2026 · 3 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective (2025 · 23 citations)
    Current LLM math solvers are usually tuned for a single reasoning style. Some use natural-language chains of thought, others use executable code, and others use formal proofs. As a result, a model strong at arithmetic word problems often fails at theorem proving, and the reverse. The authors propose…
  2. ShifCon: Enhancing Non-Dominant Language Capabilities with a Shift-based Multilingual Contrastive Framework (2025 · 6 citations)
    Multilingual LLMs fine-tuned on translated data (MSFT) still lag behind in non-dominant languages compared with English. Producing more high-quality translated supervision is costly and error-prone. ShifCon addresses this by changing how the model processes these languages internally rather than by adding data.

 Co-authors here

12 of 14 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 24 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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