activity
20202025
most citedA Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

21 citations · 57 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CV2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning

Xiao Xu, Bei Li, Chenfei Wu +6

Two-Tower Vision-Language (VL) models have shown promising improvements on various downstream VL tasks. Although the most advanced work improves performance by building bridges bet…

cs.CL2023

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding

Libo Qin, Qiguang Chen, Xiao Xu +2

Spoken Language Understanding (SLU) is one of the core components of a task-oriented dialogue system, which aims to extract the semantic meaning of user queries (e.g., intents and…

cs.CL2023★ 21 cited

A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding

Wenbo Pan, Qiguang Chen, Xiao Xu +2

Zero-shot dialogue understanding aims to enable dialogue to track the user's needs without any training data, which has gained increasing attention. In this work, we investigate th…

cs.CL2023★ 1 cited

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification

Yunlong Feng, Bohan Li, Libo Qin +2

Cross-domain text classification aims to adapt models to a target domain that lacks labeled data. It leverages or reuses rich labeled data from the different but related source dom…

cs.CV2023

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Bohan Li, Xiao Xu, Xinghao Wang +6

Existing image augmentation methods consist of two categories: perturbation-based methods and generative methods. Perturbation-based methods apply pre-defined perturbations to augm…