activity
20212023
most citedKuraNet: Systems of Coupled Oscillators that Learn to Synchronize

6 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 2 cited

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation

Letian Peng, Yuwei Zhang, Jingbo Shang

Prompting large language models (LLMs) for data augmentation has recently become a common practice in few-shot NLP tasks. In this paper, we propose Chain-of-Thought Attribute Manip…

cs.CL2023★ 2 cited

ClusterLLM: Large Language Models as a Guide for Text Clustering

Yuwei Zhang, Zihan Wang, Jingbo Shang

We introduce ClusterLLM, a novel text clustering framework that leverages feedback from an instruction-tuned large language model, such as ChatGPT. Compared with traditional unsupe…

cs.CV2023

Toward Unsupervised Realistic Visual Question Answering

Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

The problem of realistic VQA (RVQA), where a model has to reject unanswerable questions (UQs) and answer answerable ones (AQs), is studied. We first point out 2 drawbacks in curren…

cs.CL2022

New Intent Discovery with Pre-training and Contrastive Learning

Yuwei Zhang, Haode Zhang, Li-Ming Zhan +2

New intent discovery aims to uncover novel intent categories from user utterances to expand the set of supported intent classes. It is a critical task for the development and servi…

cs.CL2022

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization

Haode Zhang, Haowen Liang, Yuwei Zhang +4

It is challenging to train a good intent classifier for a task-oriented dialogue system with only a few annotations. Recent studies have shown that fine-tuning pre-trained language…

cs.CL2021

Effectiveness of Pre-training for Few-shot Intent Classification

Haode Zhang, Yuwei Zhang, Li-Ming Zhan +4

This paper investigates the effectiveness of pre-training for few-shot intent classification. While existing paradigms commonly further pre-train language models such as BERT on a…

nlin.AO2021★ 6 cited

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

Matthew Ricci, Minju Jung, Yuwei Zhang +3

Networks of coupled oscillators are some of the most studied objects in the theory of dynamical systems. Two important areas of current interest are the study of synchrony in highl…