Elamur Research⌕
☰
home / authors / Shuaijie She

Shuaijie She

Shuaijie She has 2 papers in our library, in 2024–2025, most of them on Reasoning, Multilingual & cross-lingual NLP; often with Jiajun Chen, Shujian Huang, Wenhao Zhu.

2 papers in our library · 2024–2025

OpenAlex · h-index 3 · 26 works · 24 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 70 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7210

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

🎓Nanjing UniversityNanjing · China2023–2026 · 24 paperscurrent🏢ByteDanceBeijing · China2026 · 1 papercurrent

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 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 2Research subjects and languages the work is about.Reasoning · 2 worksMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization (2024 · 59 citations)
    Large language models tend to solve math word problems much better in English than in other languages, mainly because their training data is skewed toward English.
  2. R-PRM: Reasoning-Driven Process Reward Modeling (2025 · 18 citations)
    Process Reward Models (PRMs) score each step of an LLM's mathematical reasoning. Most existing PRMs output a score directly, which limits how well they learn and gives no explanation for a judgment. Step-level labeled data is also scarce. R-PRM addresses this by having the reward model write an analysis of each step…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
  2. R-PRM: Reasoning-Driven Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Shuaijie She, Junxiao Liu, Yifeng Liu, et al.2025 · 18 citations
  3. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetXiang Geng et al.2023 · 4 citations
  4. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHao Zhou et al.2026

 Co-authors here

6 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 70 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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