--- title: "Chen Shen · Alibaba Group — author profile and papers" description: "Chen Shen, Alibaba Group: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/chen-shen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chen-shen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chen Shen # Chen Shen Chen Shen has 4 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 [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/), [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/), [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/). 4 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139834999) · [**h-index 1**](https://openalex.org/authors/A5139834999) · [5 works](https://openalex.org/works?filter=author.id:A5139834999) · [1 citations](https://openalex.org/works?filter=author.id:A5139834999&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chen-shen/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/chen-shen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8554](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8554) 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=Chen+Shen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chen+Shen) · [dblp](https://dblp.org/search?q=Chen+Shen) · [ACL Anthology](https://aclanthology.org/search/?q=Chen+Shen) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Nanjing University** Nanjing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 3 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 · 3 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.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chen-shen/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/chen-shen/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… 3. **[ART: Attention Replacement Technique to Improve Factuality in LLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-art-attention-replacement-technique-improve/)** *(2026 · 1 citation)* This paper links hallucination in LLMs to the way attention is distributed in the earliest layers. Inspecting attention maps of shallow layers (e.g., Layer 0 of Qwen2.5-7B-Instruct on a GSM8K sample), the authors group heads into three types. Uniform heads spread weight evenly over the context, local heads look… 4. **[On the Step Length Confounding in LLM Reasoning Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-step-length-confounding-llm-reasoning/)** *(2026 · 1 citation)* The paper looks at naturalness-based selection of supervised fine-tuning data for long chain-of-thought reasoning. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.*2025 · 14 citations* 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/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.*2025 · 12 citations* 3. **[ART: Attention Replacement Technique to Improve Factuality in LLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-art-attention-replacement-technique-improve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqin Luo, Yihao Quan, Xiaofeng Zhang, et al.*2026 · 1 citation* 4. **[On the Step Length Confounding in LLM Reasoning Data Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-step-length-confounding-llm-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bing Wang, Rui Miao, Chen Shen, et al.*2026 · 1 citation* 5. **[Bootstrapping Code Translation with Weighted Multilanguage Exploration ↗](https://aclanthology.org/2026.acl-long.1678/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yuhan Wu et al.*2026* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/) ×4 - [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/) ×3 - [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/) ×3 - [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/) ×3 - [Yihao Quan](https://md.research.elamur.ai/free/en/authors/yihao-quan/) ×3 - [Chaochen Gu](https://md.research.elamur.ai/free/en/authors/chaochen-gu/) ×2 - [Bing Wang](https://md.research.elamur.ai/free/en/authors/bing-wang/) - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Hao Tang](https://md.research.elamur.ai/free/en/authors/hao-tang/) - [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) - [Rui Miao](https://md.research.elamur.ai/free/en/authors/rui-miao/) - [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. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) - [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/) - [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 17 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chen-shen/cited-by/). Updated 31 October 2026