2 papers
cs.CL2026
Neural Bandit Based Optimal LLM Selection for a Pipeline of Subtasks
Baran Atalar, Eddie Zhang, Carlee Joe-Wong
As large language models (LLMs) become increasingly popular, there is a growing need to predict which out of a set of LLMs will yield a successful answer to a given query at low co…
cs.LG2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Yi Hu, Jinhang Zuo, Eddie Zhang +2
Recent advancements in machine learning (ML) have enabled its deployment on resource-constrained edge devices, fostering innovative applications such as intelligent environmental s…