Zhengyu Liu

FaultScope-2.5D: vulnerability benchmarking for sparse-access chiplet-interposer networks

PassBitNet: low-resource password guessing using 1-Bit quantized transformers

Large language models (LLMs) demonstrate exceptional accuracy in password-guessing tasks, but their massive memory cost, high computational demands, and high duplicate rates severely limit deployment in resource-constrained scenarios. This paper introduces the 1-bit/1.58-bit quantized BitNet architecture to the passwor...

ATAC: Anchor-tail aware context parallelism for LLM training

This work proposes ATAC, an anchor-tail aware framework for jointly optimizing packed-document construction and context-parallel sharding in large language model training and demonstrates that input-structure-aware co-design of packing and context parallelism is an effective approach to improving calibrated pipeline-le...