Cheng-Yu Hsieh
16 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
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Top co-authors
Keywords
large language model
(3)
multimodal language model
(2)
language model
(2)
visual reasoning
(2)
model compression
(2)
domain generalization
(1)
few-shot learning
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image classification
(1)
depth estimation
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rationale extraction
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network pruning
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image editing
(1)
referring expression
(1)
multi-task learning
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deepfake detection
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in-context learning
(1)
text-to-image generation
(1)
feature attribution
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efficient computing
(1)
scene graph generation
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Papers
NVILA: Efficient Frontier Visual Language Models
CVPR 2025
Perception Tokens Enhance Visual Reasoning in Multimodal Language Models
CVPR 2025
Synthetic Visual Genome
CVPR 2025
RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations
CVPR 2025
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
ICML 2024
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
NIPS 2024
DataComp-LM: In search of the next generation of training sets for language models
NIPS 2024
Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization
ACL 2024
The Hard Positive Truth about Vision-Language Compositionality
ECCV 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
EMNLP 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
EMNLP 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
ACL 2023
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality
NIPS 2023
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NIPS 2022
Evaluations and Methods for Explanation through Robustness Analysis
ICLR 2021
On the (In)fidelity and Sensitivity of Explanations
NIPS 2019