3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.CR2025
Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
Yihao Guo, Haocheng Bian, Liutong Zhou +16
With the deployment of Large Language Models (LLMs) in interactive applications, online malicious intent detection has become increasingly critical. However, existing approaches fa…
cs.LG2022★ 3 cited
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare, Jay Katukuri, Aditya Arora +4
In deep learning, embeddings are widely used to represent categorical entities such as words, apps, and movies. An embedding layer maps each entity to a unique vector, causing the…