--- title: "Chenxu Yang — author profile and papers · Reasoning" description: "Chenxu Yang, Tianjin Chengjian University: 3 papers on Elamur Research (2025–2026), h-index 10 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/chenxu-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenxu-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chenxu Yang # Chenxu Yang Chenxu Yang 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/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Weiping Wang](https://md.research.elamur.ai/free/en/authors/weiping-wang/), [Zheng Lin](https://md.research.elamur.ai/free/en/authors/zheng-lin/), [Chenyu Zhu](https://md.research.elamur.ai/free/en/authors/chenyu-zhu/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5034004918) · [ORCID](https://orcid.org/0000-0003-2523-7090) · [**h-index 10**](https://openalex.org/authors/A5034004918) · [64 works](https://openalex.org/works?filter=author.id:A5034004918) · [265 citations](https://openalex.org/works?filter=author.id:A5034004918&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chenxu-yang/#papers) · [🔗 Cited 118 times in our library](https://md.research.elamur.ai/free/en/authors/chenxu-yang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8276](https://md.research.elamur.ai/free/en/paper-stars/page/83/#star-8276) 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=Chenxu+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chenxu+Yang) · [dblp](https://dblp.org/search?q=Chenxu+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Chenxu+Yang) ## Affiliations [🎓**Qinghai Normal University** Xining · China 2022–2026 · 23 papers*current*](https://ror.org/03az1t892) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2022–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2022–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Tianjin Chengjian University** Tianjin · China 2024–2026 · 8 papers*current*](https://ror.org/01d0bkz51) · [🎓**Hunan University** Changsha · China 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/hunan-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Zhengzhou University** Zhengzhou · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhengzhou-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 more institutions 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 4 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [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/chenxu-yang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/chenxu-yang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Dynamic Early Exit in Reasoning Models](https://md.research.elamur.ai/free/en/papers/yang-2025-dynamic-early-exit-reasoning-models/)** *(2025 · 74 citations)* Large reasoning models such as DeepSeek-R1 and GPT-O1 often produce very long chains of thought (CoT). This "overthinking" adds latency and compute cost, and it can also turn a correct line of reasoning into a wrong one. In pilot runs, the authors forced models to answer at different points in their reasoning. Many… 2. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/)** *(2025 · 9 citations)* LLM-based chatbots often fall short on empathy and emotional support in multi-turn conversations, even when they are given commonsense knowledge. 3. **[VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization](https://md.research.elamur.ai/free/en/papers/yao-2026-vecinfer-efficient-llm-inference-low/)** *(2026)* During LLM inference, the KV cache grows with context length and takes up a large share of GPU memory. Vector quantization (VQ) can shrink it flexibly across bit-widths, but at very low bit-widths accuracy drops sharply. The authors trace this to outliers in the key cache, which sit far from the learned centroids and… ## 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. [**Dynamic Early Exit in Reasoning Models arXiv:2504.15895**Chenxu Yang, Qingyi Si, Yongjie Duan, et al.*2025 · 74 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-dynamic-early-exit-reasoning-models/) 2. **[Self-Distilled RLVR ↗](https://arxiv.org/abs/2604.03128) arXiv:2604.03128 · no summary yet**Chenxu Yang et al.*2026 · 37 citations* 3. **[Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference](https://md.research.elamur.ai/free/en/papers/wang-2025-sibyl-empowering-empathetic-dialogue-generation/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Lanrui Wang, Jiangnan Li, Chenxu Yang, et al.*2025 · 9 citations* 4. **[VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization](https://md.research.elamur.ai/free/en/papers/yao-2026-vecinfer-efficient-llm-inference-low/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.*2026* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Weiping Wang](https://md.research.elamur.ai/free/en/authors/weiping-wang/) ×3 - [Zheng Lin](https://md.research.elamur.ai/free/en/authors/zheng-lin/) ×3 - [Chenyu Zhu](https://md.research.elamur.ai/free/en/authors/chenyu-zhu/) - [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/) - [Jian Luan](https://md.research.elamur.ai/free/en/authors/jian-luan/) - [Jiangnan Li](https://md.research.elamur.ai/free/en/authors/jiangnan-li/) - [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) - [Qingyi Si](https://md.research.elamur.ai/free/en/authors/qingyi-si/) - [Wei Liu](https://md.research.elamur.ai/free/en/authors/wei-liu/) - [Yanan Cao](https://md.research.elamur.ai/free/en/authors/yanan-cao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ## Cited by Papers of our library cite their works 118 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenxu-yang/cited-by/). Updated 2 November 2026