Human intelligence is multimodal; we integrate visual, linguistic, and acoustic signals to
maintain a holistic worldview. Most current pretraining methods, however, are limited to one …

This paper targets at the task of video entailment, which aims to achieve a thorough
comprehension and draw inferences on whether a natural language statement entails or …

Pre-training model on large-scale unlabeled web videos followed by task-specific fine-
tuning is a canonical approach to learning video and language representations. However …

The development of state-of-the-art systems in different applied areas of machine learning
(ML) is driven by benchmarks, which have shaped the paradigm of evaluating …

Natural language processing (NLP) is an interdisciplinary subfield of computational
linguistics, computer science, and artificial intelligence aimed at the development of …