Skip to content
conftrace_
2024 MLHC MLHC 2024

Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Bhawesh Kumar, Jonathan Amar, Eric Yang, Nan Li, Yugang Jia

Topics

Natural Language Processing > Applications > Information Extraction Machine Learning > Learning Types > Transfer Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

parameter-efficient fine-tuning noisy label fine tuning expert annotation filtering mechanism schedule-of-event tables
Download PDF