1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IT2026
The Invocation Bottleneck in LLM-Based Lossless Compression: What Can Be Removed and What Must Be Traded
Zhe Yan, Yihao Liu, Antonio Boffa +1
Large language models (LLMs) compress text far better than classical compressors, but LLM-based compressors are slow, particularly during decompression. We argue that their decodin…
cs.LG2024★ 1 cited
Learned Compression of Nonlinear Time Series With Random Access
Andrea Guerra, Giorgio Vinciguerra, Antonio Boffa +1
Time series play a crucial role in many fields, including finance, healthcare, industry, and environmental monitoring. The storage and retrieval of time series can be challenging d…