3 papers
cs.CV2023★ 1 cited
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo +3
Large Pre-trained Transformers exhibit an intriguing capacity for in-context learning. Without gradient updates, these models can rapidly construct new predictors from demonstratio…
cs.CL2022
Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness
Yun-Zhu Song, Yi-Syuan Chen, Hong-Han Shuai
A notable challenge in Multi-Document Summarization (MDS) is the extremely-long length of the input. In this paper, we present an extract-then-abstract Transformer framework to ove…
cs.CL2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization
Yi-Syuan Chen, Hong-Han Shuai
Neural abstractive summarization has been studied in many pieces of literature and achieves great success with the aid of large corpora. However, when encountering novel tasks, one…