🧑‍🔬 Yiran Zhao

🏛️ Affiliations

🏢SalesforceSan Francisco · United States2026 · 1 papercurrent🎓National University of SingaporeSingapore · Singapore2024–2025 · 8 papers🏢Alibaba GroupHangzhou · China2024–2025 · 3 papers🏢Alibaba DAMO AcademyHangzhou · China2024–2025 · 2 papers🏢Alibaba GroupGeorge Town · Cayman Islands2024–2025 · 2 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.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Self-Evaluation Guided Beam Search for Reasoning (2023 · 145 citations)
   Large language models reason better when they write out intermediate steps, but in long chains small mistakes pile up, and the number of possible chains grows exponentially.
2. How do Large Language Models Handle Multilingualism? (2024 · 98 citations)
   This paper investigates how large language models internally process non-English input. The authors decoded each layer's hidden states into vocabulary tokens for Vicuna-13b-v1.5 and BLOOMZ-7b1. Non-English queries shifted toward English-dominated representations in the middle layers and returned to the query language…

All works

5 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. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
2. How do Large Language Models Handle Multilingualism?Conference on Neural Information Processing Systems (NeurIPS)Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.2024 · 98 citations
3. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetChaoqun Liu et al.2025 · 60 citations
4. Disentangling Language and Culture for Evaluating Multilingual Large Language Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJiahao Ying et al.2025 · 10 citations
5. Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers ↗arXiv:2503.00865 · no summary yetYiran Zhao et al.2025 · 7 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Kenji Kawaguchi ×2
• Junxian He
• Lidong Bing
• Min-Yen Kan
• Qizhe Xie
• Wenxuan Zhang
• Yuxi Xie

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Conference on Neural Information Processing Systems (NeurIPS) ×2: NeurIPS 2024, NeurIPS 2023
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
• Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 273 times (of the 141,840 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated 24 October 2026

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