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Paraphrase and Aggregate with Large Language Models for Minimizing
  Intent Classification Errors

Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors

24 June 2024
Vikas Yadav
Zheng Tang
Vijay Srinivasan
ArXivPDFHTML

Papers citing "Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors"

5 / 5 papers shown
Title
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification
In a Few Words: Comparing Weak Supervision and LLMs for Short Query Intent Classification
Daria Alexander
Arjen P. de Vries
41
0
0
30 Apr 2025
Fake News Detection After LLM Laundering: Measurement and Explanation
Fake News Detection After LLM Laundering: Measurement and Explanation
Rupak Kumar Das
Jonathan Dodge
81
0
0
29 Jan 2025
Seeing Is Believing: Black-Box Membership Inference Attacks Against
  Retrieval Augmented Generation
Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation
Y. Li
Gaoyang Liu
Yang Yang
Chen Wang
AAML
31
3
0
27 Jun 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
Efficient Intent Detection with Dual Sentence Encoders
Efficient Intent Detection with Dual Sentence Encoders
I. Casanueva
Tadas Temvcinas
D. Gerz
Matthew Henderson
Ivan Vulić
VLM
167
444
0
10 Mar 2020
1