41 citations · 43 across the 4 of their papers we have counts for
4 papers
PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models
Xiaoyan Hu, Lauren Pick, Ho-fung Leung +1
The rapid advancement of generative AI has provided users with a wide range of well-trained models to address diverse prompts. When selecting a model for a given prompt, users shou…
Synthesizing Quantum-Circuit Optimizers
Amanda Xu, Abtin Molavi, Lauren Pick +2
Near-term quantum computers are expected to work in an environment where each operation is noisy, with no error correction. Therefore, quantum-circuit optimizers are applied to min…
Qubit Mapping and Routing via MaxSAT
Abtin Molavi, Amanda Xu, Martin Diges +3
Near-term quantum computers will operate in a noisy environment, without error correction. A critical problem for near-term quantum computing is laying out a logical circuit onto a…
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
Nicholas Roberts, Xintong Li, Tzu-Heng Huang +7
Weak supervision (WS) is a powerful method to build labeled datasets for training supervised models in the face of little-to-no labeled data. It replaces hand-labeling data with ag…