Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Vassos, Stavros"'
Autor:
Loukas, Lefteris, Stogiannidis, Ilias, Diamantopoulos, Odysseas, Malakasiotis, Prodromos, Vassos, Stavros
Standard Full-Data classifiers in NLP demand thousands of labeled examples, which is impractical in data-limited domains. Few-shot methods offer an alternative, utilizing contrastive learning techniques that can be effective with as little as 20 exam
Externí odkaz:
http://arxiv.org/abs/2311.06102
Prompting Large Language Models (LLMs) performs impressively in zero- and few-shot settings. Hence, small and medium-sized enterprises (SMEs) that cannot afford the cost of creating large task-specific training datasets, but also the cost of pretrain
Externí odkaz:
http://arxiv.org/abs/2310.13395
We propose the use of conversational GPT models for easy and quick few-shot text classification in the financial domain using the Banking77 dataset. Our approach involves in-context learning with GPT-3.5 and GPT-4, which minimizes the technical exper
Externí odkaz:
http://arxiv.org/abs/2308.14634
Publikováno v:
In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), pp. 2-8, 2015
In many navigational domains the traversability of cells is conditioned on the path taken. This is often the case in video-games, in which a character may need to acquire a certain object (i.e., a key or a flying suit) to be able to traverse specific
Externí odkaz:
http://arxiv.org/abs/1607.00715
Autor:
Aversa, Davide, Vassos, Stavros
In this paper we propose an architecture for specifying the interaction of non-player characters (NPCs) in the game-world in a way that abstracts common tasks in four main conceptual components, namely perception, deliberation, control, action. We ar
Externí odkaz:
http://arxiv.org/abs/1307.3195
Publikováno v:
Studia Logica: An International Journal for Symbolic Logic, 2016 Aug 01. 104(4), 705-739.
Externí odkaz:
http://www.jstor.org/stable/24754990
Autor:
Vassos, Stavros, Levesque, Hector J.
Publikováno v:
In Artificial Intelligence February 2013 195:203-221
Can a chatbot enable us to change our conceptions, to be critically reflective? To what extent can interaction with a technologically “minimal” medium such as a chatbot evoke emotional engagement in ways that can challenge us to act on the world?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::dd8810c7346d871f184d4a7116220d6b
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3182957
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3182957