Systematic Generalization
Embodied agents face significant challenges when tasked with performing actions in diverse environments, particularly in generalizing …
Semantic parsing is the task of producing a structured meaning representation for natural language utterances or questions. Recent …
Recent research suggests that systematic generalization in natural language understanding remains a challenge for state-of-the-art …
We are interested in understanding how well Transformer language models (TLMs) can perform reasoning tasks when trained on knowledge …
The CLEVR dataset of natural-looking questions about 3D-rendered scenes has recently received much attention from the research …
Numerous models for grounded language understanding have been recently proposed, including (i) generic models that can be easily …