14 citations · 31 across the 27 of their papers we have counts for
Showing 2022 · cs.CLShow all
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cs.CL2022
Discovering New Intents Using Latent Variables
Yunhua Zhou, Peiju Liu, Yuxin Wang +1
Discovering new intents is of great significance to establishing Bootstrapped Task-Oriented Dialogue System. Most existing methods either lack the ability to transfer prior knowled…
cs.CL2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou, Pengyu Wang, Peiju Liu +2
Most existing methods of Out-of-Domain (OOD) intent classification rely on extensive auxiliary OOD corpora or specific training paradigms. However, they are underdeveloped in the u…
cs.CL2022★ 3 cited
BBTv2: Towards a Gradient-Free Future with Large Language Models
Tianxiang Sun, Zhengfu He, Hong Qian +3
Most downstream adaptation methods tune all or part of the parameters of pre-trained models (PTMs) through gradient descent, where the tuning cost increases linearly with the growt…