--- title: "Zhiqi Huang — author profile and papers — Elamur Research" description: "Zhiqi Huang: 3 papers on Elamur Research (2023–2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhiqi-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhiqi-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhiqi Huang # Zhiqi Huang Zhiqi Huang has 3 papers in our library, in 2023–2026, 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 [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/), [James Allan](https://md.research.elamur.ai/free/en/authors/james-allan/), [Puxuan Yu](https://md.research.elamur.ai/free/en/authors/puxuan-yu/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5076939668) · [ORCID](https://orcid.org/0000-0002-2939-1936) · [**h-index 5**](https://openalex.org/authors/A5076939668) · [16 works](https://openalex.org/works?filter=author.id:A5076939668) · [108 citations](https://openalex.org/works?filter=author.id:A5076939668&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/#papers) · [🔗 Cited 87 times in our library](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/cited-by/) · [⭐ Paper Stars ranking: #6473](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6473) 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=Zhiqi+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhiqi+Huang) · [dblp](https://dblp.org/search?q=Zhiqi+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhiqi+Huang) ## Affiliations [🎓**University of Massachusetts Amherst** Amherst Center · United States 2019–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) 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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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 · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MoBA: Mixture of Block Attention for Long-Context LLMs](https://md.research.elamur.ai/free/en/papers/lu-2025-moba-mixture-block-attention/)** *(2025 · 80 citations)* Standard softmax attention grows quadratically with sequence length, which makes long-context LLMs expensive to train and run. 2. **[Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation](https://md.research.elamur.ai/free/en/papers/huang-2023-improving-cross-lingual-information-retrieval/)** *(2023 · 46 citations)* Cross-language retrieval for low-resource languages faces two problems. Multilingual encoders such as mBERT and XLM-R are pre-trained on unevenly distributed data, so they represent these languages poorly. Relevance-labelled CLIR training data for such languages also barely exists. The authors propose OPTICAL, which… 3. **[MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-mmerror-benchmark-erroneous-reasoning-vision/)** *(2026 · 1 citation)* Most vision-language benchmarks score only whether the final answer is correct. They cannot show whether a model actually understands why a line of reasoning breaks down. MMErroR addresses this by testing whether VLMs can spot a flawed multimodal reasoning chain and name the kind of mistake it contains. ## Co-authors here 4 co-authors with a page, the most papers together first. - [Enzhe Lu](https://md.research.elamur.ai/free/en/authors/enzhe-lu/) - [James Allan](https://md.research.elamur.ai/free/en/authors/james-allan/) - [Puxuan Yu](https://md.research.elamur.ai/free/en/authors/puxuan-yu/) - [Zhihong Zhu](https://md.research.elamur.ai/free/en/authors/zhihong-zhu/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ## Cited by Papers of our library cite their works 87 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhiqi-huang/cited-by/). Updated 1 November 2026