Natural Language Processing
Synthetic image generation has recently experienced significant improvements in domains such as natural image or art generation. …
In-context learning (ICL) using large language models for tasks with many labels is challenging due to the limited context window, …
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 …
End-to-end interactive learning of dialogue systems has been all-but-abandoned in favour of other approaches using more labelled data, …
Large Language Models (LLMs) play an ever-increasing role in the field of Artificial Intelligence (AI)–not only for natural …
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 …