From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5Computer Science · 5 works Computer Vision and Pattern Recognition · 4 works Arts and Humanities · 4 works Artificial Intelligence · 4 works Language and Linguistics · 4 works

🧭 Topics 2Reasoning · 3 works Language models & pretraining · 2 works

Works by year

2020s

20263 papers 20252 papers

Papers

The most cited first (OpenAlex and our library).

Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs (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.
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks (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…
ART: Attention Replacement Technique to Improve Factuality in LLMs (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…
On the Step Length Confounding in LLM Reasoning Data Selection (2026 · 1 citation)
The paper looks at naturalness-based selection of supervised fine-tuning data for long chain-of-thought reasoning.
Reasoning Fails Where Step Flow Breaks (2026 · 1 citation)
Large reasoning models (LRMs) produce long question–thinking–summary traces, but their mistakes are hard to trace back to specific parts of the reasoning.

Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

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 →.

Updated 1 November 2026

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🧑‍🔬 Xiaosong Yuan

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Xiaosong Yuan

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by