--- title: "Mahani Aljunied · Alibaba Group — author profile and papers" description: "Mahani Aljunied, Alibaba Group: 4 papers on Elamur Research (2023–2025), h-index 7 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/mahani-aljunied/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mahani-aljunied/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mahani Aljunied # Mahani Aljunied Mahani Aljunied has 4 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/), [Chaoqun Liu](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/), [Hou Pong Chan](https://md.research.elamur.ai/free/en/authors/hou-pong-chan/). 4 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5042483758) · [**h-index 7**](https://openalex.org/authors/A5042483758) · [18 works](https://openalex.org/works?filter=author.id:A5042483758) · [149 citations](https://openalex.org/works?filter=author.id:A5042483758&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/#papers) · [🔗 Cited 251 times in our library](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5903](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-5903) 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=Mahani+Aljunied) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mahani+Aljunied) · [dblp](https://dblp.org/search?q=Mahani+Aljunied) · [ACL Anthology](https://aclanthology.org/search/?q=Mahani+Aljunied) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2022–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** George Town · Cayman Islands 2022–2024 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[SeaLLMs — Large Language Models for Southeast Asia](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/)** *(2023 · 92 citations)* Mainstream LLMs are trained mostly on English. As a result, they handle Southeast Asian languages poorly, especially those written in non-Latin scripts, which standard BPE tokenizers break into very long token sequences. SeaLLMs are open models for Southeast Asian languages, built by adapting English-centric… 2. **[Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts](https://md.research.elamur.ai/free/en/papers/nguyen-2024-democratizing-llms-low-resource-languages/)** *(2024 · 55 citations)* Large language models can learn tasks from a few in-context examples, but this ability is strongest in English and a few other well-resourced languages. 3. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/)** *(2025 · 21 citations)* Question answering over real-world documents is difficult for large multimodal models. Such documents can run to hundreds of pages and mix text, figures and tables. Earlier benchmarks mostly used documents under 50 pages and short extractive answers. 4. **[Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers](https://md.research.elamur.ai/free/en/papers/zhao-2025-babel-open-multilingual-large-language/)** *(2025 · 8 citations)* Open multilingual LLMs tend to favor languages with abundant web text, such as French or German. Populous but data-poor languages like Hindi, Bengali or Urdu remain underserved. Babel, from Alibaba's DAMO Academy, targets the 25 languages with the most speakers, which together cover roughly 7 billion people. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models ↗](https://arxiv.org/abs/2306.05179) arXiv:2306.05179 · no summary yet**Wenxuan Zhang et al.*2023 · 150 citations* 2. [**SeaLLMs — Large Language Models for Southeast Asia arXiv:2312.00738**Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-seallms-large-language-models-southeast/) 3. **[Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts](https://md.research.elamur.ai/free/en/papers/nguyen-2024-democratizing-llms-low-resource-languages/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.*2024 · 55 citations* 4. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.*2025 · 21 citations* 5. [**Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers arXiv:2503.00865**Yiran Zhao, Chaoqun Liu, Yue Deng, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-babel-open-multilingual-large-language/) ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/) ×3 - [Chaoqun Liu](https://md.research.elamur.ai/free/en/authors/chaoqun-liu/) ×2 - [Hou Pong Chan](https://md.research.elamur.ai/free/en/authors/hou-pong-chan/) ×2 - [Liying Cheng](https://md.research.elamur.ai/free/en/authors/liying-cheng/) ×2 - [Wenxuan Zhang](https://md.research.elamur.ai/free/en/authors/wenxuan-zhang/) ×2 - [Xuan-Phi Nguyen](https://md.research.elamur.ai/free/en/authors/xuan-phi-nguyen/) ×2 - [Yew Ken Chia](https://md.research.elamur.ai/free/en/authors/yew-ken-chia/) ×2 - [Chenhui Shen](https://md.research.elamur.ai/free/en/authors/chenhui-shen/) - [Deli Zhao](https://md.research.elamur.ai/free/en/authors/deli-zhao/) - [Guanzheng Chen](https://md.research.elamur.ai/free/en/authors/guanzheng-chen/) - [Jiahao Ying](https://md.research.elamur.ai/free/en/authors/jiahao-ying/) - [Jianyu Wang](https://md.research.elamur.ai/free/en/authors/jianyu-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ## Cited by Papers of our library cite their works 251 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mahani-aljunied/cited-by/). Updated 30 October 2026