178 citations · 214 across the 8 of their papers we have counts for
3 papers · 1 filter
BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
Dujian Ding, Ankur Mallick, Shaokun Zhang +7
Large language models (LLMs) are powerful tools but are often expensive to deploy at scale. LLM query routing mitigates this by dynamically assigning queries to models of varying c…
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang, Yiran Wu, Zhonghua Zheng +2
In this work, we propose a hyperparameter optimization method named \emph{HyperTime} to find hyperparameters robust to potential temporal distribution shifts in the unseen test dat…
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization
Yi-Wei Chen, Chi Wang, Amin Saied +1
Deploying machine learning models requires high model quality and needs to comply with application constraints. That motivates hyperparameter optimization (HPO) to tune model confi…