3 papers
cs.ET2026
Parameter Efficient Machine Unlearning on Hybrid Resistive Memory based Compute-in-Memory Accelerators
Ning Lin, Jichang Yang, Yangu He +17
Resistive memory compute-in-memory accelerators provide energy efficient analogue matrix vector multiplication for neural network inference, but frequent reprogramming of analogue…
cs.AR2026
AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices
Ma Zirui, Fan Zhihua, Li Wenxing +4
Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches w…
cs.AR2025
AssertGen: Enhancement of LLM-aided Assertion Generation through Cross-Layer Signal Bridging
Hongqin Lyu, Yonghao Wang, Yunlin Du +5
Assertion-based verification (ABV) serves as a crucial technique for ensuring that register-transfer level (RTL) designs adhere to their specifications. While Large Language Model…