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cs.AI2026
A Low-Latency Fraud Detection Layer for Detecting Adversarial Interaction Patterns in LLM-Powered Agents
Sheldon Yu, Yingcheng Sun, Hanqing Guo +1
Large Language Model (LLM)-powered agents demonstrate strong capabilities in autonomous task execution, tool use, and multi-step reasoning. However, their increasing autonomy also…
cs.LG2026
GEM-Style Constraints for PEFT with Dual Gradient Projection in LoRA
Brian Tekmen, Jason Yin, Qianqian Tong
Full fine-tuning of Large Language Models (LLMs) is computationally costly, motivating Continual Learning (CL) approaches that utilize parameter-efficient adapters. We revisit Grad…