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Efficient Computing

6,876 papers

Papers per year

Papers

Overload: Latency Attacks on Object Detection for Edge Devices CVPR 2024
Neural Video Compression with Feature Modulation CVPR 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning CVPR 2024
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model CVPR 2024
AnnoPlot: Interactive Visualizations of Text Annotations EACL 2024
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking EACL 2024
Representation and Generation of Machine Learning Test Functions EACL 2024
Towards efficient self-supervised representation learning in speech processing EACL 2024
Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024
On Measuring Context Utilization in Document-Level MT Systems EACL 2024
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune? EACL 2024
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference EACL 2024
Overview of the Third Shared Task on Speech Recognition for Vulnerable Individuals in Tamil EACL 2024
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks EMNLP 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models EMNLP 2024
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024
Rethinking Token Reduction for State Space Models EMNLP 2024
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging EMNLP 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting EMNLP 2024
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization EMNLP 2024
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws EMNLP 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models EMNLP 2024
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024