4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 4 cited
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong, Jinhao Duan, Chenhui Zhang +12
Compressing high-capability Large Language Models (LLMs) has emerged as a favored strategy for resource-efficient inferences. While state-of-the-art (SoTA) compression methods boas…
eess.IV2023★ 1 cited
Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman, James Diffenderfer, Charles Godfrey +1
Recent advances in neural image compression (NIC) have produced models that are starting to outperform classic codecs. While this has led to growing excitement about using NIC in r…