--- title: "Hanze Dong — author profile and papers — Elamur Research" description: "Hanze Dong, Microsoft: 2 papers on Elamur Research (2023–2024), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hanze-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hanze-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hanze Dong # Hanze Dong Hanze Dong has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/), [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/), [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5061778641) · [ORCID](https://orcid.org/0000-0002-8846-1260) · [**h-index 11**](https://openalex.org/authors/A5061778641) · [58 works](https://openalex.org/works?filter=author.id:A5061778641) · [378 citations](https://openalex.org/works?filter=author.id:A5061778641&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hanze-dong/#papers) · [🔗 Cited 492 times in our library](https://md.research.elamur.ai/free/en/authors/hanze-dong/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4090](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4090) 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=Hanze+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hanze+Dong) · [dblp](https://dblp.org/search?q=Hanze+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Hanze+Dong) ## Affiliations [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2019–2026 · 20 papersEducation 2019–2023*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**Salesforce** San Francisco · United States 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🏢**Microsoft** Redmond · United States 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2023–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Fudan University** Shanghai · China 2015–2023 · 4 papersEducation 2015–2019](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏢**Microsoft** Singapore · Singapore Employment](https://ror.org/032q61545) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper Hanze Dong's papers of 2024](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/) · [**2023** 1 paper Hanze Dong's papers of 2023](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/) ## Papers The most cited first (OpenAlex and our library). 1. **[RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/)** *(2023 · 239 citations)* Aligning generative foundation models with human preferences usually relies on RLHF with PPO. PPO is unstable and sample-inefficient, and it must keep several large models in memory at once (policy, reference, reward, critic). The authors propose RAFT (Reward rAnked FineTuning), a simpler alternative that repeats… 2. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/)** *(2024 · 82 citations)* RLHF makes LLMs follow human preferences, but it also tends to erode skills learned in pre-training. This loss is called the alignment tax. The authors measured it by aligning OpenLLaMA-3B on the Anthropic helpfulness/harmlessness data with Rejection Sampling Fine-tuning (RSF) and DPO. They then tracked performance… ## All works 6 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. [**RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment arXiv:2304.06767**Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.*2023 · 239 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/) 2. **[RLHF Workflow: From Reward Modeling to Online RLHF ↗](https://arxiv.org/abs/2405.07863) arXiv:2405.07863 · no summary yet**Hanze Dong et al.*2024 · 106 citations* 3. **[Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint ↗](https://arxiv.org/abs/2312.11456) arXiv:2312.11456 · no summary yet**Wei Xiong et al.*2023 · 93 citations* 4. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yong Lin, Hangyu Lin, Wei Xiong, et al.*2024 · 82 citations* 5. **[MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance ↗](https://aclanthology.org/2024.emnlp-main.895/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Renjie Pi et al.*2024 · 57 citations* 6. **[Entropy-Regularized Process Reward Model ↗](https://arxiv.org/abs/2412.11006) arXiv:2412.11006 · no summary yet**Hanning Zhang et al.*2024 · 17 citations* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) ×2 - [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/) ×2 - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2 - [Wei Xiong](https://md.research.elamur.ai/free/en/authors/wei-xiong/) ×2 - [Hangyu Lin](https://md.research.elamur.ai/free/en/authors/hangyu-lin/) - [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/) - [Kashun Shum](https://md.research.elamur.ai/free/en/authors/kashun-shum/) - [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) - [Yong Lin](https://md.research.elamur.ai/free/en/authors/yong-lin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 492 times (of the 141,840 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hanze-dong/cited-by/). Updated 24 October 2026