3 papers
cs.CL2026
Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective
Tao Jing, Ningxin Wu, Chen Kang +3
The considerable layer-wise redundancy in large language models (LLMs) has established non-uniform sparsity allocation across layers as the standard pruning approach for efficient…
cs.LG2026
LLM-ABBA: Understanding time series via symbolic approximation
Xinye Chen, Erin Carson, Cheng Kang
The success of large language models (LLMs) for time series has been demonstrated in previous work. Utilizing a symbolic time series representation, one can efficiently bridge the…
cs.LG2025
QABBA: Error-Guaranteed Symbolic Time-Series Compression via Integer-Quantized Aggregation
Erin Carson, Xinye Chen, Fei He +1
The expansion of time-series data from sensors and monitoring systems has made compact representations increasingly important. Such representations should retain signal structure w…