Gaurav Sahu

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models

2022 · arXiv (Cornell University)

Data augmentation is a widely employed technique to alleviate the problem of data scarcity. In this work, we propose a prompting-based approach to generate labelled training data for intent classification with off-the-shelf language models (LMs) …

LLM aided semi-supervision for Extractive Dialog Summarization

2023 · arXiv (Cornell University)

Generating high-quality summaries for chat dialogs often requires large labeled datasets. We propose a method to efficiently use unlabeled data for extractive summarization of customer-agent dialogs. In our method, we frame summarization as a question-answering …