3 papers
cs.CL2024
Leveraging LLMs for Dialogue Quality Measurement
Jinghan Jia, Abi Komma, Timothy Leffel +5
In task-oriented conversational AI evaluation, unsupervised methods poorly correlate with human judgments, and supervised approaches lack generalization. Recent advances in large l…
cs.CL2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models
Neal Lawton, Anoop Kumar, Govind Thattai +2
Parameter-efficient tuning (PET) methods fit pre-trained language models (PLMs) to downstream tasks by either computing a small compressed update for a subset of model parameters,…
cs.LG2023
Measuring and Mitigating Local Instability in Deep Neural Networks
Arghya Datta, Subhrangshu Nandi, Jingcheng Xu +4
Deep Neural Networks (DNNs) are becoming integral components of real world services relied upon by millions of users. Unfortunately, architects of these systems can find it difficu…