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Shiyao Cui

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
same name
  • Shiyao Cui — 24 papers, h 9
  • Shiyao Cui — 3 papers
  • Shiyao Cui — 3 papers, h 10
  • Shiyao Cui — 1 paper, h 5

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
20232026
most citedNACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

SMSP: A Plug-and-Play Strategy of Multi-Scale Perception for MLLMs to Perceive Visual Illusions

Jinzhe Tu, Ruilei Guo, Zihan Guo +3

Recent works have shown that multimodal large language models (MLLMs) are highly vulnerable to hidden-pattern visual illusions, where the hidden content is imperceptible to models…

cs.CL2024★ 1 cited

NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time

Yilong Chen, Guoxia Wang, Junyuan Shang +7

Large Language Models (LLMs) have ignited an innovative surge of AI applications, marking a new era of exciting possibilities equipped with extended context windows. However, hosti…

cs.CL2024

Adaptive Data Augmentation for Aspect Sentiment Quad Prediction

Wenyuan Zhang, Xinghua Zhang, Shiyao Cui +3

Aspect sentiment quad prediction (ASQP) aims to predict the quad sentiment elements for a given sentence, which is a critical task in the field of aspect-based sentiment analysis.…

cs.CL2023

FFT: Towards Harmlessness Evaluation and Analysis for LLMs with Factuality, Fairness, Toxicity

Shiyao Cui, Zhenyu Zhang, Yilong Chen +4

The widespread of generative artificial intelligence has heightened concerns about the potential harms posed by AI-generated texts, primarily stemming from factoid, unfair, and tox…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.