--- title: "Guohao Dai — author profile and papers — Elamur Research" description: "Guohao Dai: 2 papers on Elamur Research (2024–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/guohao-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guohao-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guohao Dai # Guohao Dai Guohao Dai has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/), [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/), [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/). 2 papers in our library · 2024–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guohao-dai/#papers) · [🔗 Cited 41 times in our library](https://md.research.elamur.ai/free/en/authors/guohao-dai/cited-by/) · [⭐ Paper Stars ranking: #8038](https://md.research.elamur.ai/free/en/paper-stars/page/81/#star-8038) 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=Guohao+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guohao+Dai) · [dblp](https://dblp.org/search?q=Guohao+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Guohao+Dai) ## 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/guohao-dai/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/guohao-dai/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/)** *(2024 · 41 citations)* Long-context LLMs now advertise input windows of 128k–256k tokens or more. Popular evaluation suites, however, average only about 5k–21k words. They often reuse unmodified public texts that models may have memorized, and they score answers with brittle n-gram metrics. LV-Eval addresses these gaps with a bilingual… 2. **[VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-vocabtailor-dynamic-vocabulary-selection-downstream/)** *(2026 · 1 citation)* Small language models built for edge hardware still spend much of their memory on vocabulary-related parts, namely the embedding matrix and the LM head. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/) - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/) - [Xuefei Ning](https://md.research.elamur.ai/free/en/authors/xuefei-ning/) - [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/guohao-dai/cited-by/). Updated 31 October 2026