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Found 4 papers, 2 papers with code
R-KV: Redundancy-aware KV Cache Compression for Training-Free Reasoning Models Acceleration
To address this, we propose Redundancy-aware KV Cache Compression for Reasoning models (R-KV), a novel method specifically targeting redundant tokens in reasoning models.
Causal rule ensemble approach for multi-arm data
By bridging the gap between accuracy and interpretability, our study contributes a valuable tool for multi-arm HTE estimation, supporting precision medicine.
Online Drift Detection with Maximum Concept Discrepancy
Continuous learning from an immense volume of data streams becomes exceptionally critical in the internet era.
On the properties of Gaussian Copula Mixture Models
This paper investigates Gaussian copula mixture models (GCMM), which are an extension of Gaussian mixture models (GMM) that incorporate copula concepts.
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