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pro vyhledávání: '"Stafford, Tom"'
The conformity effect describes the tendency of individuals to align their responses with the majority. Studying this bias in large language models (LLMs) is crucial, as LLMs are increasingly used in various information-seeking and decision-making ta
Externí odkaz:
http://arxiv.org/abs/2410.12428
Autor:
Dommett, Kate (AUTHOR), Stafford, Tom (AUTHOR)
Publikováno v:
New Scientist. 8/31/2024, Vol. 263 Issue 3506, p36-39. 4p. 2 Color Photographs, 1 Graph.
We explore different aspects of cognitive diversity and its effect on the success of group deliberation. To evaluate this, we use 500 dialogues from small, online groups discussing the Wason Card Selection task - the DeliData corpus. Leveraging the c
Externí odkaz:
http://arxiv.org/abs/2402.01427
Autor:
Farag, Youmna, Brand, Charlotte O., Amidei, Jacopo, Piwek, Paul, Stafford, Tom, Stoyanchev, Svetlana, Vlachos, Andreas
Publikováno v:
Findings of EMNLP 2022
Recent research on argumentative dialogues has focused on persuading people to take some action, changing their stance on the topic of discussion, or winning debates. In this work, we focus on argumentative dialogues that aim to open up (rather than
Externí odkaz:
http://arxiv.org/abs/2301.06400
Publikováno v:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Disagreements are frequently studied from the perspective of either detecting toxicity or analysing argument structure. We propose a framework of dispute tactics that unifies these two perspectives, as well as other dialogue acts which play a role in
Externí odkaz:
http://arxiv.org/abs/2212.08353
People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational strategies where they try to convince each other of the best approach
Externí odkaz:
http://arxiv.org/abs/2207.12035
Publikováno v:
In Addictive Behaviors September 2024 156
Group deliberation enables people to collaborate and solve problems, however, it is understudied due to a lack of resources. To this end, we introduce the first publicly available dataset containing collaborative conversations on solving a well-estab
Externí odkaz:
http://arxiv.org/abs/2108.05271
Publikováno v:
In Vaccine 11 June 2024 42(16):3607-3614
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