--- title: "Yu-Neng Chuang · Rice University — author profile and papers" description: "Yu-Neng Chuang, Rice University: 3 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yu-neng-chuang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-neng-chuang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yu-Neng Chuang # Yu-Neng Chuang Yu-Neng Chuang has 3 papers in our library, in 2025–2026, 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/); often with [Guanchu Wang](https://md.research.elamur.ai/free/en/authors/guanchu-wang/), [Shaochen Zhong](https://md.research.elamur.ai/free/en/authors/shaochen-zhong/), [Xia Hu](https://md.research.elamur.ai/free/en/authors/xia-hu/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5048791081) · [ORCID](https://orcid.org/0000-0002-7492-0817) · [Wikidata](https://www.wikidata.org/wiki/Q130938791) · [**h-index 7**](https://openalex.org/authors/A5048791081) · [45 works](https://openalex.org/works?filter=author.id:A5048791081) · [291 citations](https://openalex.org/works?filter=author.id:A5048791081&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/#papers) · [🔗 Cited 168 times in our library](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6784](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6784) 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=Yu-Neng+Chuang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yu-Neng+Chuang) · [dblp](https://dblp.org/search?q=Yu-Neng+Chuang) · [ACL Anthology](https://aclanthology.org/search/?q=Yu-Neng+Chuang) ## Affiliations [🎓**Rice University** Houston · United States 2022–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/universities/rice-university/) · [🎓**National Chengchi University** Taipei · Taiwan 2017–2020 · 5 papers](https://ror.org/03rqk8h36) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/)** *(2025 · 157 citations)* Reasoning-focused LLMs such as OpenAI o1 and DeepSeek-R1 get better at math and coding by writing long Chain-of-Thought traces. 2. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/)** *(2026 · 9 citations)* LLMs often explain their answers in natural language, but these explanations frequently do not reflect what actually drove the prediction. Classic fidelity tests, which delete important tokens, also fit poorly with free-text rationales whose content is semantic rather than token-level. 3. **[AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-autol2s-auto-long-short-reasoning/)** *(2026 · 7 citations)* Distilling reasoning from strong teacher LLMs into non-reasoning students often causes "overthinking": the students produce very long chain-of-thought (CoT) traces even for easy questions, which raises decoding time and cost. ## 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. [**Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models arXiv:2503.16419**Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.*2025 · 157 citations*](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/) 2. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.*2026 · 9 citations* 3. **[AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-autol2s-auto-long-short-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Feng Luo, Yu-Neng Chuang, Guanchu Wang, et al.*2026 · 7 citations* 4. **[A Decoupled Multi-Agent Framework for Complex Text Style Transfer ↗](https://aclanthology.org/2025.findings-emnlp.1166/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Lingxi Zhang et al.*2025* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Guanchu Wang](https://md.research.elamur.ai/free/en/authors/guanchu-wang/) ×3 - [Shaochen Zhong](https://md.research.elamur.ai/free/en/authors/shaochen-zhong/) ×3 - [Xia Hu](https://md.research.elamur.ai/free/en/authors/xia-hu/) ×3 - [Andrew Wen](https://md.research.elamur.ai/free/en/authors/andrew-wen/) ×2 - [Hongyi Liu](https://md.research.elamur.ai/free/en/authors/hongyi-liu/) ×2 - [Jiayi Yuan](https://md.research.elamur.ai/free/en/authors/jiayi-yuan/) ×2 - [Vladimir Braverman](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/) ×2 - [Yang Sui](https://md.research.elamur.ai/free/en/authors/yang-sui/) ×2 - [Chia-Yuan Chang](https://md.research.elamur.ai/free/en/authors/chia-yuan-chang/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Hanjie Chen](https://md.research.elamur.ai/free/en/authors/hanjie-chen/) - [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [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/) - Findings of the Association for Computational Linguistics: EMNLP 2025 ## Cited by Papers of our library cite their works 168 times (of the 149,439 papers whose bibliographies we read); [68 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/cited-by/). Updated 30 October 2026