Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent
Detection

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection

27 February 2024

Yejie Wang

Weiran Xu

Papers citing "Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection"

7 / 7 papers shown

Title
When Search Engine Services meet Large Language Models: Visions and Challenges Haoyi Xiong Jiang Bian Yuchen Li Xuhong Li Mengnan Du Shuaiqiang Wang Dawei Yin Sumi Helal 43 28 0 28 Jun 2024
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery Xiaoshuai Song Muxi Diao Guanting Dong Zhengyang Wang Yujia Fu ... Yejie Wang Zhuoma Gongque Jianing Yu Qiuna Tan Weiran Xu ELM 44 10 0 12 Jun 2024
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT Xiaoshuai Song Keqing He Pei Wang Guanting Dong Yutao Mou Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu LRM 34 13 0 16 Oct 2023
Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation Yanan Wu Zhiyuan Zeng Keqing He Yutao Mou Pei Wang Weiran Xu 29 8 0 14 Sep 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 0 21 Oct 2021
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 167 444 0 10 Mar 2020