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Xiaoyu Shen

6 papers hereh-index 348 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG2
same name
  • Xiaoyu Shen — 37 papers, h 7
  • Xiaoyu Shen — 31 papers, h 24
  • Xiaoyu Shen — 19 papers, h 5
  • Xiaoyu Shen — 10 papers, h 6
  • Xiaoyu Shen — 8 papers, h 7
  • Xiaoyu Shen — 5 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedWeLM: A Well-Read Pre-trained Language Model for Chinese

6 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Probing Cultural Awareness in LLMs: A Case Study of Cross-Culture Aesthetic Stylistics

Jiashuo Wang, Fenggang Yu, Jian Wang +6

Large Language Models (LLMs) are increasingly deployed in diverse cultural contexts, yet their ability to master aesthetic stylistics, i.e., the strategic use of language to evoke…

cs.CL2025

Probing the Difficulty Perception Mechanism of Large Language Models

Sunbowen Lee, Qingyu Yin, Chak Tou Leong +5

Large language models (LLMs) are increasingly deployed on complex reasoning tasks, yet little is known about their ability to internally evaluate problem difficulty, which is an es…

cs.CL2024

StableMask: Refining Causal Masking in Decoder-only Transformer

Qingyu Yin, Xuzheng He, Xiang Zhuang +4

The decoder-only Transformer architecture with causal masking and relative position encoding (RPE) has become the de facto choice in language modeling. Despite its exceptional perf…

cs.CL2022★ 6 cited

WeLM: A Well-Read Pre-trained Language Model for Chinese

Hui Su, Xiao Zhou, Houjin Yu +5

Large Language Models pre-trained with self-supervised learning have demonstrated impressive zero-shot generalization capabilities on a wide spectrum of tasks. In this work, we pre…

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