9 citations · 31 across the 34 of their papers we have counts for
5 papers · 1 filter
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
Zhuang Li, Yuyang Chai, Terry Yue Zhuo +5
Textual scene graph parsing has become increasingly important in various vision-language applications, including image caption evaluation and image retrieval. However, existing sce…
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
Zhuang Li, Lizhen Qu, Philip R. Cohen +2
Multilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance…
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation
Haolan Zhan, Sameen Maruf, Lizhen Qu +3
Flowchart-grounded troubleshooting dialogue (FTD) systems, which follow the instructions of a flowchart to diagnose users' problems in specific domains (e.g., vehicle, laptop), hav…
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…
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery
Tao Feng, Lizhen Qu, Gholamreza Haffari
In this paper, we conduct the first study on spurious correlations for open-domain response generation models based on a corpus CGDIALOG curated in our work. The cur rent models in…