--- title: "Kaikai An · Peking University — author profile and papers" description: "Kaikai An, Peking University: 5 papers on Elamur Research (2023–2025), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/kaikai-an/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/kaikai-an/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Kaikai An # Kaikai An Kaikai An has 5 papers in our library, in 2023–2025, 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 [Shuzheng Si](https://md.research.elamur.ai/free/en/authors/shuzheng-si/), [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/), [Haozhe Zhao](https://md.research.elamur.ai/free/en/authors/haozhe-zhao/). 5 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5026562669) · [**h-index 2**](https://openalex.org/authors/A5026562669) · [22 works](https://openalex.org/works?filter=author.id:A5026562669) · [30 citations](https://openalex.org/works?filter=author.id:A5026562669&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/kaikai-an/#papers) · [🔗 Cited 93 times in our library](https://md.research.elamur.ai/free/en/authors/kaikai-an/cited-by/) · [⭐ Paper Stars ranking: #6627](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6627) 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=Kaikai+An) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kaikai+An) · [dblp](https://dblp.org/search?q=Kaikai+An) · [ACL Anthology](https://aclanthology.org/search/?q=Kaikai+An) ## Affiliations [🎓**Peking University** Beijing · China 2023–2025 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Northeastern University** Shenyang · China 2021–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 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 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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** 3 papers](https://md.research.elamur.ai/free/en/authors/kaikai-an/year/2025/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/kaikai-an/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhao-2023-mmicl-empowering-vision-language-model/)** *(2023 · 58 citations)* Most vision-language models (VLMs) built on large language models handle prompts with a single image well. 2. **[ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code](https://md.research.elamur.ai/free/en/papers/tang-2023-ml-bench-evaluating-large-language/)** *(2023 · 33 citations)* ML-Bench tests whether LLMs and autonomous agents can use real machine-learning GitHub repositories as libraries. 3. **[Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering](https://md.research.elamur.ai/free/en/papers/si-2025-aligning-large-language-models-follow/)** *(2025 · 11 citations)* Instruction tuning can teach LLMs to hallucinate when the training examples contain knowledge the model never acquired in pre-training. 4. **[UltraIF: Advancing Instruction Following from the Wild](https://md.research.elamur.ai/free/en/papers/an-2025-ultraif-advancing-instruction-following-wild/)** *(2025 · 7 citations)* Open-source models still follow complex, multi-constraint instructions worse than industry models, partly because leading labs do not release their instruction data. 5. **[GATEAU: Selecting Influential Samples for Long Context Alignment](https://md.research.elamur.ai/free/en/papers/si-2025-gateau-selecting-influential-samples-long/)** *(2025 · 5 citations)* Teaching LLMs to follow instructions over very long inputs is hard because human annotation of long instruction-following data is costly. ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Shuzheng Si](https://md.research.elamur.ai/free/en/authors/shuzheng-si/) ×5 - [Baobao Chang](https://md.research.elamur.ai/free/en/authors/baobao-chang/) ×4 - [Haozhe Zhao](https://md.research.elamur.ai/free/en/authors/haozhe-zhao/) ×3 - [Fanchao Qi](https://md.research.elamur.ai/free/en/authors/fanchao-qi/) ×2 - [Gang Chen](https://md.research.elamur.ai/free/en/authors/gang-chen/) ×2 - [Kangyang Luo](https://md.research.elamur.ai/free/en/authors/kangyang-luo/) ×2 - [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) ×2 - [Zefan Cai](https://md.research.elamur.ai/free/en/authors/zefan-cai/) ×2 - [Chen Qian](https://md.research.elamur.ai/free/en/authors/chen-qian/) - [Chuancheng Lv](https://md.research.elamur.ai/free/en/authors/chuancheng-lv/) - [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) - [Li Sheng](https://md.research.elamur.ai/free/en/authors/li-sheng/) ## 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/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 93 times (of the 149,439 papers whose bibliographies we read); [28 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kaikai-an/cited-by/). Updated 31 October 2026