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cs.AI2026
Different Tasks, Different Timesteps: Temporal Task-Aware Quantization for Diffusion Language Models
Ofek Avivi, Eliron Rahimi, Avi Mendelson +1
Diffusion Language Models (DLMs) introduce unique quantization challenges due to their iterative denoising process. In this work, we reveal that quantization sensitivity is both ta…
cs.AI2026
Linguistic Firewall: Geometry as Defense in Multi-Agent Systems Routing
Dvir Alsheich, Adar Peleg, Ben Hagag +3
The rapid integration of Large Language Models (LLMs) has driven the evolution of Multi-Agent Systems (MAS), where specialized agents collaborate to execute complex workflows. Effe…