Natural Language Processing
Large pre-trained models have proved to be remarkable zero- and (prompt-based) few-shot learners in unimodal vision and language tasks. …
Large language models have been fine-tuned to learn poetry via supervised learning on a dataset containing relevant examples. However, …
Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. …
Pretrained large generative language models have shown great performance on many tasks, but exhibit low compositional generalization …
Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases …
We introduce Breadth-First Pipeline Parallelism, a novel training schedule which optimizes the combination of pipeline and data …
The ALFRED environment features an embodied agent following instructions and accomplishing tasks in simulated home environments. …
Data augmentation is a widely employed technique to alleviate the problem of data scarcity. In this work, we propose a prompting-based …
We outline three research directions towards the practical implementation of explainable, sensible and virtuous chatbots for the …