Recent explorations with commercial Large Language Models (LLMs) have sh...
Domain shift is a big challenge in NLP, thus, many approaches resort to
...
The Natural Language Inference (NLI) task often requires reasoning over
...
The recently proposed CheckList (Riberio et al,. 2020) approach to evalu...
Natural Language Inference (NLI) is considered a representative task to ...
Multilingual language models achieve impressive zero-shot accuracies in ...
The recent state-of-the-art natural language understanding (NLU) systems...
Symbolic Mathematical tasks such as integration often require multiple
w...
Pre-trained Transformer-based neural architectures have consistently ach...
Online behaviors of consumers and marketers generate massive marketing d...
Deep learning based data-driven approaches have been successfully applie...
For tasks involving language and vision, the current state-of-the-art me...
Many vision and language tasks require commonsense reasoning beyond
data...
In this work, we explore a genre of puzzles ("image riddles") which invo...
In this paper we propose the construction of linguistic descriptions of
...