--- title: "Zhichen Dong — author profile and papers — Elamur Research" description: "Zhichen Dong, Shanghai Artificial Intelligence Laboratory: 2 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zhichen-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhichen-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhichen Dong # Zhichen Dong Zhichen Dong has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Chao Yang](https://md.research.elamur.ai/free/en/authors/chao-yang/), [Zhixuan Liu](https://md.research.elamur.ai/free/en/authors/zhixuan-liu/), [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5100312006) · [**h-index 2**](https://openalex.org/authors/A5100312006) · [5 works](https://openalex.org/works?filter=author.id:A5100312006) · [36 citations](https://openalex.org/works?filter=author.id:A5100312006&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhichen-dong/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/zhichen-dong/cited-by/) · [⭐ Paper Stars ranking: #10530](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10530) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zhichen+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhichen+Dong) · [dblp](https://dblp.org/search?q=Zhichen+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Zhichen+Dong) ## Affiliations [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichen-dong/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichen-dong/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2024-weak-strong-search-align-large/)** *(2024 · 17 citations)* Aligning very large language models with human preferences through fine-tuning is costly and hard to engineer. 2. **[Adaptive Prompt Optimization for Open-Ended Tasks: Uncertainty Preference as a Secondary Signal](https://md.research.elamur.ai/free/en/papers/zhang-2026-adaptive-prompt-optimization-open-ended/)** *(2026)* Training-free prompt optimizers usually rank candidate prompts by a single quality score. This ignores that tasks differ in how much output variability they want. Safety and factual tasks benefit from stable, predictable answers, while creative tasks benefit from diversity. The authors first test this idea with… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Chao Yang](https://md.research.elamur.ai/free/en/authors/chao-yang/) ×2 - [Zhixuan Liu](https://md.research.elamur.ai/free/en/authors/zhixuan-liu/) ×2 - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) - [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/) - [Shuyang Zhang](https://md.research.elamur.ai/free/en/authors/shuyang-zhang/) - [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) - [Zhanhui Zhou](https://md.research.elamur.ai/free/en/authors/zhanhui-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhichen-dong/cited-by/). Updated 2 November 2026