Papers with detecting hard-negative

1 papers
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification (2024.lrec-main)

Copied to clipboard

Challenge: Existing studies have not studied the performance of intent classifiers against hard-negative out-of-scope utterances.
Approach: They propose to generate hard-negative OOS data using ChatGPT and evaluate them against three benchmark intent classifiers.
Outcome: The proposed method improves classifiers' robustness against hard-negative out-of-scope utterances and general OOS data.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations