most citedGRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2024

Open Assistant Toolkit -- version 2

Sophie Fischer, Federico Rossetto, Carlos Gemmell +5

We present the second version of the Open Assistant Toolkit (OAT-v2), an open-source task-oriented conversational system for composing generative neural models. OAT-v2 is a scalabl…

cs.IR2024★ 3 cited

GRILLBot In Practice: Lessons and Tradeoffs Deploying Large Language Models for Adaptable Conversational Task Assistants

Sophie Fischer, Carlos Gemmell, Niklas Tecklenburg +3

We tackle the challenge of building real-world multimodal assistants for complex real-world tasks. We describe the practicalities and challenges of developing and deploying GRILLBo…

cs.CL2022★ 1 cited

GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations

Carlos Gemmell, Iain Mackie, Paul Owoicho +3

GRILLBot is the winning system in the 2022 Alexa Prize TaskBot Challenge, moving towards the next generation of multimodal task assistants. It is a voice assistant to guide users t…

cs.IR2022★ 1 cited

VILT: Video Instructions Linking for Complex Tasks

Sophie Fischer, Carlos Gemmell, Iain Mackie +1

This work addresses challenges in developing conversational assistants that support rich multimodal video interactions to accomplish real-world tasks interactively. We introduce th…

cs.IR2022

CODEC: Complex Document and Entity Collection

Iain Mackie, Paul Owoicho, Carlos Gemmell +3

CODEC is a document and entity ranking benchmark that focuses on complex research topics. We target essay-style information needs of social science researchers, i.e. "How has the U…