2 citations · 2 across the 4 of their papers we have counts for
4 papers
Bitwidth-Specific Logarithmic Arithmetic for Future Hardware-Accelerated Training
Hassan Hamad, Yuou Qiu, Peter A. Beerel +1
While advancements in quantization have significantly reduced the computational costs of inference in deep learning, training still predominantly relies on complex floating-point a…
ToolCritic: Detecting and Correcting Tool-Use Errors in Dialogue Systems
Hassan Hamad, Yingru Xu, Liang Zhao +2
Tool-augmented large language models (LLMs) are increasingly employed in real-world applications, but tool usage errors still hinder their reliability. We introduce ToolCritic, a d…
Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations
William Chang, Hassan Hamad, Keith M. Chugg
Standard artificial neural networks (ANNs) use sum-product or multiply-accumulate node operations with a memoryless nonlinear activation. These neural networks are known to have un…
Joint State Sensing and Communication over Memoryless Multiple Access Channels
Mari Kobayashi, Hassan Hamad, Gerhard Kramer +1
A memoryless state-dependent multiple access channel (MAC) is considered where two transmitters wish to convey a respective message to a receiver while simultaneously estimating th…