3 papers
eess.SP2026
Multi-User XR Offloading via Massive MIMO: A System-Level Analysis using a Real-Life Dataset
Love Bárány, Ilayda Yaman, Ove Edfors +2
SLAM is one of the biggest bottlenecks of XR devices, which have strict requirements for latency, power consumption, and user satisfaction. A solution that has been proposed and st…
cs.LG2026
Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings
Fatemeh Akbarian, Anahita Baninajjar, Yingyi Zhang +2
Multi-modal foundation models align images, text, and other modalities in a shared embedding space but remain vulnerable to adversarial illusions [35], where imperceptible perturba…
cs.CL2026
BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
Baichuan Huang, Ananth Balashankar, Amir Aminifar
Fine-tuning the bias terms of large language models (LLMs) has the potential to achieve unprecedented parameter efficiency while maintaining competitive performance, particularly i…