2 papers
cs.AI2026
Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs
Seyed Alireza Molavi, Zhan Su, Yan Hu +3
Composing independently trained LoRA adapters into a single large language model is useful for multi-domain adaptation, especially when the original training data cannot be shared.…
cs.CV2026
Attribution Upsampling should Redistribute, Not Interpolate
Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat +2
Attribution methods in explainable AI rely on upsampling techniques that were designed for natural images, not saliency maps. Standard bilinear and bicubic interpolation systematic…