3 citations · 5 across the 5 of their papers we have counts for
5 papers
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
Mathieu Ravaut, Hailin Chen, Ruochen Zhao +3
Prompt tuning (PT), a parameter-efficient technique that only tunes the additional prompt embeddings while keeping the backbone pre-trained language model (PLM) frozen, has shown p…
Retrieving Multimodal Information for Augmented Generation: A Survey
Ruochen Zhao, Hailin Chen, Weishi Wang +8
As Large Language Models (LLMs) become popular, there emerged an important trend of using multimodality to augment the LLMs' generation ability, which enables LLMs to better intera…
Learning Label Modular Prompts for Text Classification in the Wild
Hailin Chen, Amrita Saha, Shafiq Joty +1
Machine learning models usually assume i.i.d data during training and testing, but data and tasks in real world often change over time. To emulate the transient nature of real worl…
Incorporating Consistency Verification into Neural Data-to-Document Generation
Feng Nie, Hailin Chen, Jinpeng Wang +3
Recent neural models for data-to-document generation have achieved remarkable progress in producing fluent and informative texts. However, large proportions of generated texts do n…
Application of Transfer Learning Approaches in Multimodal Wearable Human Activity Recognition
Hailin Chen, Shengping Cui, Sebastian Li
Through this project, we researched on transfer learning methods and their applications on real world problems. By implementing and modifying various methods in transfer learning f…