The Generalized Representation and Information Learning Lab, or GRILL is a research group that develops new methods for machine understanding of natural language text and data. Starting in Autumn 2023, GRILL is a research group at the University of Edinburgh School of Informatics. We are part of the Institute for Language, Cognition and Computation (ILCC), one of the world’s leading groups in language technologies and NLP. Previously, GRILL was part of the School of Computing Science at the University of Glasgow.

Our research aims to develop new algorithms and artificial intelligence techniques to tackle challenging problems in machine reasoning, language understanding, and information seeking. We push the boundaries of machine intelligence using deep neural networks and LLMs to enable practical applications. Some of recent projects are on Conversational Information Seeking, dialogue systems, multi-task information extraction, and multi-modal representation learning and generation.

Our work is funded by grants from Google, Amazon, Bloomberg research, and The Data Lab.

Turing AI Acceleration Fellowship Opportunities

We are honoured to share that Dr Dalton is one of the fifteen recipients of the prestigious Turing AI Acceleration fellowship.  It is a five year fellowship from UKRI in collaboration with Alan Turing Institute on “Neural Conversational Information Assistants”. See the official AI Fellowship Announcement. Associated with the Fellowship there... [Read More]

GRILL @ the Text Retrieval Conference (TREC) 2020

Multiple GRILL researchers gave talks. A few of the highlights of TREC 2020 involving the GRILL group include: The TREC Conversation Assistance Track (CAsT) overview talk (Jeff Dalton) Conversational Rewriting for CAsT 2020 invited talk (Carlos Gemmell) Podcast summarization combining abstractive and extractive summarization (Paul Owoicho) Invited talk on ‘Social’... [Read More]