11 citations · 28 across the 8 of their papers we have counts for
8 papers
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…
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
Xuming Lin, Shaobo Cui, Zhongzhou Zhao +3
Existing data-driven methods can well handle short text generation. However, when applied to the long-text generation scenarios such as story generation or advertising text generat…
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
Shaobo Cui, Xintong Bao, Xuming Lin +4
Many generation tasks follow a one-to-many mapping relationship: each input could be associated with multiple outputs. Existing methods like Conditional Variational AutoEncoder(CVA…
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach
Shaobo Cui, Xintong Bao, Xinxing Zu +4
Large-scale question-answer (QA) pairs are critical for advancing research areas like machine reading comprehension and question answering. To construct QA pairs from documents req…
MTSS: Learn from Multiple Domain Teachers and Become a Multi-domain Dialogue Expert
Shuke Peng, Feng Ji, Zehao Lin +3
How to build a high-quality multi-domain dialogue system is a challenging work due to its complicated and entangled dialogue state space among each domain, which seriously limits t…
Predict-then-Decide: A Predictive Approach for Wait or Answer Task in Dialogue Systems
Zehao Lin, Shaobo Cui, Guodun Li +6
Different people have different habits of describing their intents in conversations. Some people tend to deliberate their intents in several successive utterances, i.e., they use s…