--- title: "Yan Gao — author profile and papers — Elamur Research" description: "Yan Gao, Xiaohongshu (Little Red Book): 5 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yan-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yan-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yan Gao # Yan Gao Yan Gao has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Yao Hu](https://md.research.elamur.ai/free/en/authors/yao-hu/), [Chengqiang Lu](https://md.research.elamur.ai/free/en/authors/chengqiang-lu/), [Yiwu](https://md.research.elamur.ai/free/en/authors/yiwu/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139781137) · [**h-index 1**](https://openalex.org/authors/A5139781137) · [4 works](https://openalex.org/works?filter=author.id:A5139781137) · [3 citations](https://openalex.org/works?filter=author.id:A5139781137&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yan-gao/#papers) · [🔗 Cited 116 times in our library](https://md.research.elamur.ai/free/en/authors/yan-gao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6303](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6303) 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=Yan+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yan+Gao) · [dblp](https://dblp.org/search?q=Yan+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Yan+Gao) ## Affiliations [🏢**Xiaohongshu (Little Red Book)** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/xiaohongshu-little-red-book/) 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 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 · 3 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 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yan-gao/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yan-gao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yan-gao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference](https://md.research.elamur.ai/free/en/papers/yang-2024-pyramidinfer-pyramid-kv-cache-compression/)** *(2024 · 91 citations)* Serving LLMs at scale is limited by GPU memory, and the KV cache often takes far more memory than the model weights. 2. **[Towards the Law of Capacity Gap in Distilling Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-law-capacity-gap-distilling-language/)** *(2025 · 27 citations)* Knowledge distillation compresses a large teacher language model into a smaller student. However, a bigger teacher does not always produce a better student. This "curse of capacity gap" means the best teacher size for a given student is usually found by distilling from many teachers, which is too costly for LLMs. The… 3. **[WideSearch: Benchmarking Agentic Broad Info-Seeking](https://md.research.elamur.ai/free/en/papers/wong-2025-widesearch-benchmarking-agentic-broad-info/)** *(2025 · 20 citations)* Many everyday and professional information needs, such as listing every job opening or admission threshold that matches a set of conditions, are hard because of their scale and the need for exactness, not because of deep reasoning. 4. **[Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models](https://md.research.elamur.ai/free/en/papers/wu-2026-anti-length-shift-dynamic-outlier/)** *(2026 · 1 citation)* Reasoning models trained with RLVR tend to write very long chains of thought even for easy questions, which makes deployment expensive. 5. **[SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility](https://md.research.elamur.ai/free/en/papers/zhi-2026-spard-self-paced-curriculum-rl/)** *(2026 · 1 citation)* LLM post-training increasingly targets open-ended tasks, where rewards come from several criteria scored by an LLM judge. ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference](https://md.research.elamur.ai/free/en/papers/yang-2024-pyramidinfer-pyramid-kv-cache-compression/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dongjie Yang, Xiaodong Han, Yan Gao, et al.*2024 · 91 citations* 2. **[Towards the Law of Capacity Gap in Distilling Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-law-capacity-gap-distilling-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhang, Qiuchi Li, Dawei Song, et al.*2025 · 27 citations* 3. [**WideSearch: Benchmarking Agentic Broad Info-Seeking arXiv:2508.07999**Ryan Wong, Jiawei Wang, Junjie Zhao, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/wong-2025-widesearch-benchmarking-agentic-broad-info/) 4. **[NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries ↗](https://aclanthology.org/2024.findings-eacl.158/) Findings of the Association for Computational Linguistics: EACL 2024 · no summary yet**Wei Zhao et al.*2024 · 11 citations* 5. **[Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models](https://md.research.elamur.ai/free/en/papers/wu-2026-anti-length-shift-dynamic-outlier/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wei Wu, Liyi Chen, Congxi Xiao, et al.*2026 · 1 citation* 6. **[SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility](https://md.research.elamur.ai/free/en/papers/zhi-2026-spard-self-paced-curriculum-rl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.*2026 · 1 citation* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Yao Hu](https://md.research.elamur.ai/free/en/authors/yao-hu/) ×4 - [Chengqiang Lu](https://md.research.elamur.ai/free/en/authors/chengqiang-lu/) ×2 - [Yiwu](https://md.research.elamur.ai/free/en/authors/yiwu/) ×2 - [Chen Zhang](https://md.research.elamur.ai/free/en/authors/chen-zhang/) - [Dawei Song](https://md.research.elamur.ai/free/en/authors/dawei-song/) - [Defu Lian](https://md.research.elamur.ai/free/en/authors/defu-lian/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/) - [Hang Lv](https://md.research.elamur.ai/free/en/authors/hang-lv/) - [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) - [Hongchao Gu](https://md.research.elamur.ai/free/en/authors/hongchao-gu/) - [Hui Xiong](https://md.research.elamur.ai/free/en/authors/hui-xiong/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - Findings of the Association for Computational Linguistics: EACL 2024 ## Cited by Papers of our library cite their works 116 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yan-gao/cited-by/). Updated 1 November 2026