Recent research on transformer-based language models investigates their
...
Language understanding is essential for the navigation agent to follow
i...
Recent research has shown that integrating domain knowledge into deep
le...
The spread of misinformation is a prominent problem in today's society, ...
This work explores the zero-shot compositional learning ability of large...
Recent research shows synthetic data as a source of supervision helps
pr...
Understanding spatial and visual information is essential for a navigati...
This work investigates the challenge of learning and reasoning for
Commo...
We study the challenge of learning causal reasoning over procedural text...
We demonstrate a library for the integration of domain knowledge in deep...
In this paper, we study the problem of recognizing compositional
attribu...
This paper addresses the challenge of learning to do procedural reasonin...
We deal with the navigation problem where the agent follows natural lang...
Tracking entities throughout a procedure described in a text is challeng...
We propose a novel alignment mechanism to deal with procedural reasoning...
This work deals with the challenge of learning and reasoning over multi-...
Spatial Reasoning from language is essential for natural language
unders...
This work deals with the challenge of learning and reasoning over langua...
Data-driven approaches are becoming more common as problem-solving techn...
Many real world systems need to operate on heterogeneous information net...
This paper introduces the visually informed embedding of word (VIEW), a
...