23 citations · 27 across the 4 of their papers we have counts for
5 papers
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…
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…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
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…
Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback
Carlos Gemmell, Federico Rossetto, Jeffrey Dalton
Tools capable of automatic code generation have the potential to augment programmer's capabilities. While straightforward code retrieval is incorporated into many IDEs, an emerging…