most citedPairwise GUI Dataset Construction Between Android Phones and Tablets

2 citations · 4 across the 7 of their papers we have counts for

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cs.CL2024

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models

Tao Feng, Lizhen Qu, Zhuang Li +3

Machine learning models have made incredible progress, but they still struggle when applied to examples from unseen domains. This study focuses on a specific problem of domain gene…

cs.CL2024

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations

Haolan Zhan, Zhuang Li, Xiaoxi Kang +14

Norm violations occur when individuals fail to conform to culturally accepted behaviors, which may lead to potential conflicts. Remediating norm violations requires social awarenes…

cs.CL20241 cited

Let's Negotiate! A Survey of Negotiation Dialogue Systems

Haolan Zhan, Yufei Wang, Tao Feng +7

Negotiation is a crucial ability in human communication. Recently, there has been a resurgent research interest in negotiation dialogue systems, whose goal is to create intelligent…

cs.CL2024

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations

Yuncheng Hua, Zhuang Li, Linhao Luo +8

In today's globalized world, bridging the cultural divide is more critical than ever for forging meaningful connections. The Socially-Aware Dialogue Assistant System (SADAS) is our…

cs.CL20231 cited

SocialDial: A Benchmark for Socially-Aware Dialogue Systems

Haolan Zhan, Zhuang Li, Yufei Wang +10

Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current…

cs.CL2023

Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation

Haolan Zhan, Xuming Lin, Shaobo Cui +3

Existing neural methods have shown great potentials towards generating informative text from structured tabular data as well as maintaining high content fidelity. However, few of t…