Can I read Re-annotating C-STS Data with LLMs on EtoBox?

Re-annotating C-STS Data with LLMs by GAURISH TRIVEDI is a document available to read on EtoBox.

What is Re-annotating C-STS Data with LLMs about?

This document discusses the challenges of annotating training data for Conditional Semantic Textual Similarity (C-STS) using Large Language Models (LLMs). It highlights the issues found in existing datasets, such as annotation errors and ambiguous conditions, and presents a method for re-annotating the dataset to improve accuracy and reliability. The authors demonstrate that their re-annotated dataset leads to a statistically significant improvement in model performance, achieving a higher Spearman correlat

Author

GAURISH TRIVEDI

Language

EN