---
title: "Shaotian Yan — author profile and papers · Reasoning"
description: "Shaotian Yan, Baoji University of Arts and Sciences: 3 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/shaotian-yan/"
---
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# Shaotian Yan

Shaotian Yan 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/); 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/), [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5047332969) · [**h-index 4**](https://openalex.org/authors/A5047332969) · [11 works](https://openalex.org/works?filter=author.id:A5047332969) · [29 citations](https://openalex.org/works?filter=author.id:A5047332969&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shaotian-yan/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/shaotian-yan/cited-by/) · [⭐ Paper Stars ranking: #9818](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9818)

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=Shaotian+Yan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shaotian+Yan) · [dblp](https://dblp.org/search?q=Shaotian+Yan) · [ACL Anthology](https://aclanthology.org/search/?q=Shaotian+Yan)

## Affiliations

[🎓**Baoji University of Arts and Sciences** Xi'an · China 2020–2025 · 6 papers*current*](https://ror.org/05nx0xs09) · [🏢**Alibaba Group** Hangzhou · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/)

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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 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/)

🧭 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 · 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/shaotian-yan/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shaotian-yan/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. **[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.

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/) ×3
- [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/) ×3
- [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/) ×3
- [Chaochen Gu](https://md.research.elamur.ai/free/en/authors/chaochen-gu/) ×2
- [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/) ×2
- [Yihao Quan](https://md.research.elamur.ai/free/en/authors/yihao-quan/) ×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/)
- [Jiawei Cao](https://md.research.elamur.ai/free/en/authors/jiawei-cao/)
- [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/)
- [Rui Miao](https://md.research.elamur.ai/free/en/authors/rui-miao/)

## 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/)
- [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); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shaotian-yan/cited-by/).

Updated 2 November 2026
