Large language models (LLMs) have been successfully adapted for interact...
Intelligent Traffic Monitoring (ITMo) technologies hold the potential fo...
Communication via natural language is a crucial aspect of intelligence, ...
The retrieval model is an indispensable component for real-world
knowled...
Stories about everyday situations are an essential part of human
communi...
Understanding novel situations in the traffic domain requires an intrica...
We propose a novel open-domain question answering (ODQA) framework for
a...
Procedural text understanding is a challenging language reasoning task t...
Self-supervision based on the information extracted from large knowledge...
This chapter illustrates how suitable neuro-symbolic models for language...
Due to its potential for a universal interface over both data and text,
...
Commonsense reasoning benchmarks have been largely solved by fine-tuning...
Commonsense knowledge is essential for many AI applications, including t...
Conditional text generation has been a challenging task that is yet to s...
As audio/visual classification models are widely deployed for sensitive ...
Recent developments in pre-trained neural language modeling have led to ...
Computational context understanding refers to an agent's ability to fuse...
Non-extractive commonsense QA remains a challenging AI task, as it requi...