Scholar
Cheng-Yu Hsieh
Google Scholar ID: WXX6ZwwAAAAJ
Ph.D. student, University of Washington
Data-Centric AI
Efficient Machine Learning
Model Interpretability
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Citations & Impact
All-time
Citations
2,472
H-index
17
i10-index
18
Publications
20
Co-authors
23
list available
Contact
No contact links provided.
Publications
9 items
Learning to Reason for Hallucination Span Detection
2025
Cited
0
Synthetic Visual Genome
2025
Cited
0
FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations
2025
Cited
0
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
2025
Cited
0
NVILA: Efficient Frontier Visual Language Models
arXiv.org · 2024
Cited
4
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
arXiv.org · 2024
Cited
1
DataComp-LM: In search of the next generation of training sets for language models
Neural Information Processing Systems · 2024
Cited
72
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
arXiv.org · 2024
Cited
1
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Resume (English only)
Co-authors
23 total
Ranjay Krishna
University of Washington, Allen Institute for AI
Co-author 2
Chih-Kuan Yeh
Thinking Machines
Chun-Liang Li
Apple / University of Washington
Chen-Yu Lee
Research Scientist, Google
Tomas Pfister
Head of AI Research @ Google Cloud
Pradeep Ravikumar
Professor, School of Computer Science, Carnegie Mellon University
Jieyu Zhang
University of Washington
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