most citedOut-of-Distribution Generalization in Text Classification: Past, Present, and Future

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition

Alan Cowap, Yvette Graham, Jennifer Foster

Recent developments in generative AI have shone a spotlight on high-performance synthetic text generation technologies. The now wide availability and ease of use of such models hig…

cs.CL20231 cited

Out-of-Distribution Generalization in Text Classification: Past, Present, and Future

Linyi Yang, Yaoxiao Song, Xuan Ren +6

Machine learning (ML) systems in natural language processing (NLP) face significant challenges in generalizing to out-of-distribution (OOD) data, where the test distribution differ…

cs.CV2023

Is a Video worth Images? A Highly Efficient Approach to Transformer-based Video Question Answering

Chenyang Lyu, Tianbo Ji, Yvette Graham +1

Conventional Transformer-based Video Question Answering (VideoQA) approaches generally encode frames independently through one or more image encoders followed by interaction betwee…

cs.CV2023

Semantic-aware Dynamic Retrospective-Prospective Reasoning for Event-level Video Question Answering

Chenyang Lyu, Tianbo Ji, Yvette Graham +1

Event-Level Video Question Answering (EVQA) requires complex reasoning across video events to obtain the visual information needed to provide optimal answers. However, despite sign…

cs.IR2023

Dialogue-to-Video Retrieval

Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh +3

Recent years have witnessed an increasing amount of dialogue/conversation on the web especially on social media. That inspires the development of dialogue-based retrieval, in which…