--- title: "Bryan Dai — author profile and papers — Elamur Research" description: "Bryan Dai: 3 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/bryan-dai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bryan-dai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bryan Dai # Bryan Dai Bryan Dai has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Aishan Liu](https://md.research.elamur.ai/free/en/authors/aishan-liu/), [Chi Liu](https://md.research.elamur.ai/free/en/authors/chi-liu/), [Hongming Piao](https://md.research.elamur.ai/free/en/authors/hongming-piao/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139747694) · [**h-index 0**](https://openalex.org/authors/A5139747694) · [3 works](https://openalex.org/works?filter=author.id:A5139747694) · [0 citations](https://openalex.org/works?filter=author.id:A5139747694&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bryan-dai/#papers) · [🔗 Cited 100 times in our library](https://md.research.elamur.ai/free/en/authors/bryan-dai/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6733](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6733) 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=Bryan+Dai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bryan+Dai) · [dblp](https://dblp.org/search?q=Bryan+Dai) · [ACL Anthology](https://aclanthology.org/search/?q=Bryan+Dai) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/bryan-dai/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/bryan-dai/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/)** *(2025 · 104 citations)* Logic-RL tests whether the rule-based reinforcement learning (RL) approach behind DeepSeek-R1 can be reproduced with a smaller model, and what training data supports it best. 2. **[Scaling Laws for Code: Every Programming Language Matters](https://md.research.elamur.ai/free/en/papers/yang-2026-scaling-laws-code-every-programming/)** *(2026 · 2 citations)* Classic scaling laws treat code as a single, language-agnostic domain. In practice, programming languages (PLs) contribute unequally during pre-training, so loss predictions for multilingual code LLMs can be inaccurate. This study runs more than 1000 pre-training experiments from scratch, costing roughly 336,000 H800… 3. **[Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-is-not-all-you/)** *(2026)* Strong medical reasoning in LLMs usually depends on very large models and costly hand-annotated chain-of-thought data. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. [**Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning arXiv:2502.14768**Tian Xie, Zitian Gao, Qingnan Ren, et al.*2025 · 104 citations*](https://md.research.elamur.ai/free/en/papers/xie-2025-logic-rl-unleashing-llm/) 2. **[Scaling Laws for Code: Every Programming Language Matters](https://md.research.elamur.ai/free/en/papers/yang-2026-scaling-laws-code-every-programming/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Shuyue Guo, Linzheng Chai, et al.*2026 · 2 citations* 3. **[Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-is-not-all-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chi Liu, Yan Shu, Mengzhuo Chen, et al.*2026* 4. **[LoopCoder: Scaling Code Intelligence via Looped Language Models ↗](https://aclanthology.org/2026.findings-acl.796/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jian Yang et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Aishan Liu](https://md.research.elamur.ai/free/en/authors/aishan-liu/) - [Chi Liu](https://md.research.elamur.ai/free/en/authors/chi-liu/) - [Hongming Piao](https://md.research.elamur.ai/free/en/authors/hongming-piao/) - [Jian Yang](https://md.research.elamur.ai/free/en/authors/jian-yang/) - [Joey Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/joey-tianyi-zhou/) - [Linzheng Chai](https://md.research.elamur.ai/free/en/authors/linzheng-chai/) - [Shuyue Guo](https://md.research.elamur.ai/free/en/authors/shuyue-guo/) - [Wei Zhang](https://md.research.elamur.ai/free/en/authors/wei-zhang/) - [Xianglong Liu](https://md.research.elamur.ai/free/en/authors/xianglong-liu/) - [Xin Zhao](https://md.research.elamur.ai/free/en/authors/xin-zhao/) - [Zhoujun Li](https://md.research.elamur.ai/free/en/authors/zhoujun-li/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 100 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/bryan-dai/cited-by/). Updated 1 November 2026