12 citations · 13 across the 5 of their papers we have counts for
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cs.LG2026
Data-Aware Random Feature Kernel for Transformers
Amirhossein Farzam, Hossein Mobahi, Nolan Andrew Miller +1
Transformers excel across domains, yet their quadratic attention complexity poses a barrier to scaling. Random-feature attention, as in Performers, can reduce this cost to linear i…
cs.AI2026
Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement
Amirhossein Farzam, Majid Behabahani, Mani Malek +2
Large language models (LLMs) remain vulnerable to jailbreak prompts that are fluent and semantically coherent, and therefore difficult to detect with standard heuristics. A particu…