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

Author:

Fischer Sophie1ORCID,Gemmell Carlos2ORCID,Tecklenburg Niklas2ORCID,Mackie Iain2ORCID,Rossetto Federico2ORCID,Dalton Jeffrey1ORCID

Affiliation:

1. University of Edinburgh, Edinburgh, United Kingdom

2. University of Glasgow, Glasgow, United Kingdom

Publisher

ACM

Reference38 articles.

1. Eugene Agichtein, Michael Johnston, Anna Gottardi, Cris Flagg, Lavina Vaz, Hangjie Shi, Desheng Zhang, Leslie Ball, Shaohua Liu, Luke Dai, et al. 2023. Alexa, let's work together: Introducing the second alexa prize taskbot challenge. 2nd Proceedings of the Alexa Prize Taskbot Challenge, Vol. 2 (2023).

2. Amazon. 2023. Amazon Skill Kit. https://developer.amazon.com/en-US/alexa/alexa-skills-kit

3. MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

4. Genie: a generator of natural language semantic parsers for virtual assistant commands

5. Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus Collins, Shervin Malmasi, Oleg Rokhlenko, and Eugene Agichtein. 2022. Wizard of tasks: A novel conversational dataset for solving real-world tasks in conversational settings. In Proceedings of the 29th International Conference on Computational Linguistics. 3514--3529.

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