--- title: "Zhiqi Bai — author profile and papers — Elamur Research" description: "Zhiqi Bai, Alibaba Group: 2 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhiqi-bai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhiqi-bai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhiqi Bai # Zhiqi Bai Zhiqi Bai has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/), [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/), [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5065092030) · [ORCID](https://orcid.org/0000-0003-2857-2556) · [**h-index 3**](https://openalex.org/authors/A5065092030) · [14 works](https://openalex.org/works?filter=author.id:A5065092030) · [178 citations](https://openalex.org/works?filter=author.id:A5065092030&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhiqi-bai/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/zhiqi-bai/cited-by/) · [⭐ Paper Stars ranking: #8199](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8199) 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+Bai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhiqi+Bai) · [dblp](https://dblp.org/search?q=Zhiqi+Bai) · [ACL Anthology](https://aclanthology.org/search/?q=Zhiqi+Bai) ## Affiliations [🏢**Alibaba Group** San Mateo · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🏢**Alibaba Group** Hangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 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/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiqi-bai/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiqi-bai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)** *(2025 · 64 citations)* Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common. 2. **[DDK: Distilling Domain Knowledge for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2024-ddk-distilling-domain-knowledge-efficient/)** *(2024 · 23 citations)* Smaller LLMs are cheaper to deploy, and knowledge distillation from a stronger model can improve them. However, existing LLM distillation methods train on a fixed data mix. They overlook that the gap between student and teacher differs widely by domain. For example, a Qwen-1.5 1.8B student trails its 14B teacher far… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) ×2 - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) ×2 - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) ×2 - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Yuanxing Zhang](https://md.research.elamur.ai/free/en/authors/yuanxing-zhang/) ×2 - [Congnan Liu](https://md.research.elamur.ai/free/en/authors/congnan-liu/) - [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) - [Huanxuan Liao](https://md.research.elamur.ai/free/en/authors/huanxuan-liao/) - [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/) - [Jinyang Guo](https://md.research.elamur.ai/free/en/authors/jinyang-guo/) - [Ken Deng](https://md.research.elamur.ai/free/en/authors/ken-deng/) - [Yanan Wu](https://md.research.elamur.ai/free/en/authors/yanan-wu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhiqi-bai/cited-by/). Updated 30 October 2026