--- title: "Chaochen Gu — author profile and papers · Reasoning" description: "Chaochen Gu, Shanghai Jiao Tong University: 2 papers on Elamur Research (2025), h-index 17 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/chaochen-gu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chaochen-gu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chaochen Gu # Chaochen Gu Chaochen Gu has 2 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/), [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/), [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5030921410) · [ORCID](https://orcid.org/0000-0002-9748-7139) · [**h-index 17**](https://openalex.org/authors/A5030921410) · [97 works](https://openalex.org/works?filter=author.id:A5030921410) · [809 citations](https://openalex.org/works?filter=author.id:A5030921410&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chaochen-gu/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/chaochen-gu/cited-by/) · [⭐ Paper Stars ranking: #8684](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8684) 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=Chaochen+Gu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chaochen+Gu) · [dblp](https://dblp.org/search?q=Chaochen+Gu) · [ACL Anthology](https://aclanthology.org/search/?q=Chaochen+Gu) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2011–2026 · 79 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🏛️**Ministry of Education of the People's Republic of China** Beijing · China 2016–2020 · 4 papers](https://ror.org/01mv9t934) 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/chaochen-gu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/)** *(2025 · 14 citations)* The paper investigates why large vision-language models (LVLMs) hallucinate, focusing on attention over image tokens, which make up most of the input. 2. **[From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2025-redundancy-relevance-information-flow-lvlms/)** *(2025 · 12 citations)* Large vision-language models (LVLMs) turn each image into hundreds of tokens before passing it to an LLM. How those visual tokens actually shape the generated answer has been unclear. The authors study this "information flow", meaning how strongly system, image and user-prompt tokens influence answer tokens, layer by… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/) ×2 - [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/) ×2 - [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/) ×2 - [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/) ×2 - [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/) ×2 - [Yihao Quan](https://md.research.elamur.ai/free/en/authors/yihao-quan/) ×2 - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Hao Tang](https://md.research.elamur.ai/free/en/authors/hao-tang/) - [Wenxiao Wang](https://md.research.elamur.ai/free/en/authors/wenxiao-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## Cited by Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chaochen-gu/cited-by/). Updated 31 October 2026