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of 449
pro vyhledávání: '"Nichol, Alan"'
We describe a system for building task-oriented dialogue systems combining the in-context learning abilities of large language models (LLMs) with the deterministic execution of business logic. LLMs are used to translate between the surface form of th
Externí odkaz:
http://arxiv.org/abs/2402.12234
Autor:
Vasilyeva, Elizaveta, Nichol, Alan, Bakos, Brendan, Barton, Anise, Goecke, Michelle, Lam, Elaine, Martin, Erin, Lohrisch, Caroline, McKevitt, Elaine
Publikováno v:
In The American Journal of Surgery May 2024 231:70-73
Autor:
Malhotra, Aria, Carpentier, Emilie E., Grahame, Sheri, Chan, Elisa K., Nichol, Alan, Duzenli, Cheryl
Publikováno v:
In Advances in Radiation Oncology January 2024 9(1)
Recent dialogue datasets like MultiWOZ 2.1 and Taskmaster-1 constitute some of the most challenging tasks for present-day dialogue models and, therefore, are widely used for system evaluation. We identify several issues with the above-mentioned datas
Externí odkaz:
http://arxiv.org/abs/2004.10473
Large-scale pre-trained language models have shown impressive results on language understanding benchmarks like GLUE and SuperGLUE, improving considerably over other pre-training methods like distributed representations (GloVe) and purely supervised
Externí odkaz:
http://arxiv.org/abs/2004.09936
We introduce a dialogue policy based on a transformer architecture, where the self-attention mechanism operates over the sequence of dialogue turns. Recent work has used hierarchical recurrent neural networks to encode multiple utterances in a dialog
Externí odkaz:
http://arxiv.org/abs/1910.00486
Autor:
B Jackson, Emily, Gondara, Lovedeep, Speers, Caroline, Diocee, Rekha, M Nichol, Alan, Lohrisch, Caroline, A Gelmon, Karen
Publikováno v:
In The Breast August 2023 70:25-31
Autor:
Bentley, Helena, Roberts, James, Hayes, Malcolm, Wilson, Christine, Simmons, Christine, Nichol, Alan, Smrke, Alannah, Martin, Tetyana
Publikováno v:
In Clinical Breast Cancer February 2023 23(2):e45-e53
Akademický článek
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Machine-learning based dialogue managers are able to learn complex behaviors in order to complete a task, but it is not straightforward to extend their capabilities to new domains. We investigate different policies' ability to handle uncooperative us
Externí odkaz:
http://arxiv.org/abs/1811.11707