2 papers
cs.LG2025
Low-Rank Compression of Language Models via Differentiable Rank Selection
Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini
Approaches for compressing large-language models using low-rank decomposition have made strides, particularly with the introduction of activation and loss-aware SVD, which improves…
cs.LG2024
Temporal Smoothness Regularisers for Neural Link Predictors
Manuel Dileo, Pasquale Minervini, Matteo Zignani +1
Most algorithms for representation learning and link prediction on relational data are designed for static data. However, the data to which they are applied typically evolves over…