--- title: "Haikang Deng — author profile and papers — Elamur Research" description: "Haikang Deng: 2 papers on Elamur Research (2022–2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haikang-deng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haikang-deng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haikang Deng # Haikang Deng Haikang Deng has 2 papers in our library, in 2022–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Adam Roberts](https://md.research.elamur.ai/free/en/authors/adam-roberts/), [Cho-Jui Hsieh](https://md.research.elamur.ai/free/en/authors/cho-jui-hsieh/), [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/). 2 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5014479963) · [**h-index 2**](https://openalex.org/authors/A5014479963) · [3 works](https://openalex.org/works?filter=author.id:A5014479963) · [98 citations](https://openalex.org/works?filter=author.id:A5014479963&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haikang-deng/#papers) · [🔗 Cited 305 times in our library](https://md.research.elamur.ai/free/en/authors/haikang-deng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4521](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4521) 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=Haikang+Deng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haikang+Deng) · [dblp](https://dblp.org/search?q=Haikang+Deng) · [ACL Anthology](https://aclanthology.org/search/?q=Haikang+Deng) ## 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haikang-deng/year/2025/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/haikang-deng/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models Struggle to Learn Long-Tail Knowledge](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/)** *(2022 · 366 citations)* This paper asks whether the factual knowledge of large language models depends on how often a fact appears in their pre-training data. 2. **[DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation](https://md.research.elamur.ai/free/en/papers/zhou-2025-dialectgen-benchmarking-improving-dialect-robustness/)** *(2025 · 3 citations)* Text-to-image and text-to-video models are trained mostly on Standard American and British English. This paper asks how they cope when a prompt uses another English dialect. The authors built DialectGen, a benchmark covering SAE plus five other dialects: AAE, BrE, ChE, InE and SgE. ## All works 3 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. [**Large Language Models Struggle to Learn Long-Tail Knowledge arXiv:2211.08411**Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.*2022 · 366 citations*](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/) 2. **[Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model ↗](https://aclanthology.org/2023.emnlp-main.721/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Haikang Deng, Colin Raffel*2023 · 34 citations* 3. [**DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation arXiv:2510.14949**Yu Zhou, Sohyun An, Haikang Deng, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-dialectgen-benchmarking-improving-dialect-robustness/) ## Co-authors here 9 co-authors with a page, the most papers together first. - [Adam Roberts](https://md.research.elamur.ai/free/en/authors/adam-roberts/) - [Cho-Jui Hsieh](https://md.research.elamur.ai/free/en/authors/cho-jui-hsieh/) - [Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/) - [Da Yin](https://md.research.elamur.ai/free/en/authors/da-yin/) - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) - [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/) - [Nikhil Kandpal](https://md.research.elamur.ai/free/en/authors/nikhil-kandpal/) - [Yu Zhou](https://md.research.elamur.ai/free/en/authors/yu-zhou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 305 times (of the 149,439 papers whose bibliographies we read); [68 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haikang-deng/cited-by/). Updated 30 October 2026