560 citations · 1.1k across the 56 of their papers we have counts for
17 papers · 1 filter
In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models
Yukun Huang, Yanda Chen, Zhou Yu +1
Given the success with in-context learning of large pre-trained language models, we introduce in-context learning distillation to transfer in-context few-shot learning ability from…
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL
Yingwen Fu, Wenjie Ou, Zhou Yu +1
Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries. Most state-of-the-art conversational text- to-SQL me…
Comprehensive evaluations of a prototype full field-of-view photon counting CT system through phantom studies
Xiaohui Zhan, Ruoqiao Zhang, Xiaofeng Niu +14
Photon counting CT (PCCT) has been a research focus in the last two decades. Recent studies and advancements have demonstrated that systems using semiconductor-based photon countin…
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding
Maximillian Chen, Alexandros Papangelis, Chenyang Tao +5
Dialogue understanding tasks often necessitate abundant annotated data to achieve good performance and that presents challenges in low-resource settings. To alleviate this barrier,…
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
Xiao Yu, Qingyang Wu, Kun Qian +1
In task-oriented dialogs (TOD), reinforcement learning (RL) algorithms train a model to directly optimize response for task-related metrics. However, RL needs to perform exploratio…
Affective Idiosyncratic Responses to Music
Sky CH-Wang, Evan Li, Oliver Li +2
Affective responses to music are highly personal. Despite consensus that idiosyncratic factors play a key role in regulating how listeners emotionally respond to music, precisely m…