14 citations · 31 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
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…
What Dense Graph Do You Need for Self-Attention?
Yuxin Wang, Chu-Tak Lee, Qipeng Guo +4
Transformers have made progress in miscellaneous tasks, but suffer from quadratic computational and memory complexities. Recent works propose sparse Transformers with attention on…
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…