--- title: "Hanning Zhang — author profile and papers — Elamur Research" description: "Hanning Zhang, China United Network Communications Group: 3 papers on Elamur Research (2024–2026), h-index 7 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/hanning-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hanning-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hanning Zhang # Hanning Zhang Hanning Zhang has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/), [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/), [Yong Lin](https://md.research.elamur.ai/free/en/authors/yong-lin/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5035827836) · [ORCID](https://orcid.org/0000-0003-3321-5027) · [**h-index 7**](https://openalex.org/authors/A5035827836) · [51 works](https://openalex.org/works?filter=author.id:A5035827836) · [195 citations](https://openalex.org/works?filter=author.id:A5035827836&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hanning-zhang/#papers) · [🔗 Cited 145 times in our library](https://md.research.elamur.ai/free/en/authors/hanning-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6648](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6648) 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=Hanning+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hanning+Zhang) · [dblp](https://dblp.org/search?q=Hanning+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Hanning+Zhang) ## Affiliations [🏢**China United Network Communications Group** Beijing · China 2023–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/china-united-network-communications-group/) · [🎓**Beihang University** Beijing · China 2021–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🔬**Institute of High Energy Physics** Beijing · China 2022–2023 · 8 papers](https://ror.org/03v8tnc06) · [🎓**Sun Yat-sen University** Guangzhou · China 2022–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2020–2022 · 7 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Jilin University** Changchun · China 2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🎓**University of Science and Technology of China** Hefei · China 2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2023 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/hanning-zhang/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/hanning-zhang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'](https://md.research.elamur.ai/free/en/papers/zhang-2024-r-tuning-instructing-large-language/)** *(2024 · 99 citations)* The paper examines hallucinations in large language models (LLMs). The authors attribute them to the fact that standard instruction tuning forces the model to answer every question, even when the required fact is absent from its parametric knowledge. The model thus learns to guess and cannot admit that it does not… 2. **[Mitigating the Alignment Tax of RLHF](https://md.research.elamur.ai/free/en/papers/lin-2024-mitigating-alignment-tax-rlhf/)** *(2024 · 83 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… 3. **[OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-opengenalign-preference-dataset-benchmark-trustworthy/)** *(2026 · 2 citations)* Reward models are central to RLHF, but there has been no dedicated training data or benchmark for open-ended, long-context generation. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'](https://md.research.elamur.ai/free/en/papers/zhang-2024-r-tuning-instructing-large-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hanning Zhang, Shizhe Diao, Yong Lin, et al.*2024 · 99 citations* 2. **[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 · 83 citations* 3. **[Entropy-Regularized Process Reward Model ↗](https://arxiv.org/abs/2412.11006) arXiv:2412.11006 · no summary yet**Hanning Zhang et al.*2024 · 17 citations* 4. **[OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-opengenalign-preference-dataset-benchmark-trustworthy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanning Zhang, Juntong Song, Juno Zhu, et al.*2026 · 2 citations* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2 - [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) ×2 - [Yong Lin](https://md.research.elamur.ai/free/en/authors/yong-lin/) ×2 - [Cheng Niu](https://md.research.elamur.ai/free/en/authors/cheng-niu/) - [Hangyu Lin](https://md.research.elamur.ai/free/en/authors/hangyu-lin/) - [Hanze Dong](https://md.research.elamur.ai/free/en/authors/hanze-dong/) - [Haoxiang Wang](https://md.research.elamur.ai/free/en/authors/haoxiang-wang/) - [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/) - [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) - [Juno Zhu](https://md.research.elamur.ai/free/en/authors/juno-zhu/) - [Juntong Song](https://md.research.elamur.ai/free/en/authors/juntong-song/) - [Qing Lian](https://md.research.elamur.ai/free/en/authors/qing-lian/) ## 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/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [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 of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/) ## Cited by Papers of our library cite their works 145 times (of the 149,439 papers whose bibliographies we read); [44 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hanning-zhang/cited-by/). Updated 2 November 2026