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Yi Dong

Yi Dong has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Aidan Swope, Jiaqi Zeng, Makesh Narsimhan Sreedhar.

2 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 16 · 104 works · 1,193 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 167 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7279

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

🎓University of LiverpoolLiverpool · United Kingdom2021–2026 · 47 papersEmployment 2021–2023 · Research Associate, Computer ScienceEmployment since 2024 · Lecturer, Computer Sciencecurrent🎓University of SouthamptonSouthampton · United Kingdom2024–2025 · 5 papersEmployment until 2024🎓University of ManchesterManchester · United Kingdom2017–2022 · 5 papersEmployment 2017–2020 · Teaching Assistant, Electrical and Electronic EngineeringEmployment since 2022 · Academic Visitor, Computer Science🏢NvidiaReading · United Kingdom2025 · 2 papers🏢NvidiaSanta Clara · United States2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work

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

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM (2024 · 72 citations)
    Open helpfulness preference datasets usually give only an overall rating or a pairwise ranking. They do not say why one answer is better, so trained models can pick up shallow cues, such as preferring longer replies whether or not they are useful. The NVIDIA team built HelpSteer to address this. It is a…
  2. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models (2026 · 1 citation)
    Checking only final answers reveals little about whether an LLM's chain of thought is coherent or follows human-like logic.

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. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation ↗arXiv:2305.11391 · no summary yetXiaowei Huang et al.2023 · 199 citations
  2. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.2024 · 72 citations
  3. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models ↗arXiv:2505.24864 · no summary yetMingjie Liu et al.2025 · 58 citations
  4. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Boxuan Wang, Zhuoyun Li, Xinmiao Huang, et al.2026 · 1 citation

 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 167 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

Updated

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