Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Dudy, Shiran"'
Large Language Models (LLMs) have gained widespread global adoption, showcasing advanced linguistic capabilities across multiple of languages. There is a growing interest in academia to use these models to simulate and study human behaviors. However,
Externí odkaz:
http://arxiv.org/abs/2408.02143
Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotional diversity of their users, especially for low-resource languages. I
Externí odkaz:
http://arxiv.org/abs/2406.19504
Autor:
Cai, Jon Z., King, Brendan, Perkoff, Margaret, Dudy, Shiran, Cao, Jie, Grace, Marie, Wojarnik, Natalia, Ganesh, Ananya, Martin, James H., Palmer, Martha, Walker, Marilyn, Flanigan, Jeffrey
Publikováno v:
The 13th International Workshop on Spoken Dialogue Systems Technology 2023
In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes th
Externí odkaz:
http://arxiv.org/abs/2302.12944
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the-art research has been implemented in a large variety of customer-faci
Externí odkaz:
http://arxiv.org/abs/2211.16858
Autor:
Chang, Michael Alan, Dudy, Shiran
Publikováno v:
Human-Centered AI workshop (HCAI) 2022, NEURIPS
Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it
Externí odkaz:
http://arxiv.org/abs/2211.12434
Neural networks have long been at the center of a debate around the cognitive mechanism by which humans process inflectional morphology. This debate has gravitated into NLP by way of the question: Are neural networks a feasible account for human beha
Externí odkaz:
http://arxiv.org/abs/2210.12321
Many NLG tasks such as summarization, dialogue response, or open domain question answering focus primarily on a source text in order to generate a target response. This standard approach falls short, however, when a user's intent or context of work i
Externí odkaz:
http://arxiv.org/abs/2109.05140
Autor:
Dudy, Shiran, Bedrick, Steven
Current evaluation metrics for language modeling and generation rely heavily on the accuracy of predicted (or generated) words as compared to a reference ground truth. While important, token-level accuracy only captures one aspect of a language model
Externí odkaz:
http://arxiv.org/abs/2010.06069
Autor:
Memmott, Tab, Koçanaoğulları, Aziz, Lawhead, Matthew, Klee, Daniel, Dudy, Shiran, Fried-Oken, Melanie, Oken, Barry
There are high technological and software demands associated with conducting brain-computer interface (BCI) research. In order to accelerate the development and accessibility of BCI, it is worthwhile to focus on open-source and desired tooling. Pytho
Externí odkaz:
http://arxiv.org/abs/2002.06642
Autor:
Erdogmus, Deniz, Smith, David, Bedrick, Steven, Eddy, Brandon, Kinsella, Michelle, Lawhead, Matthew, Kocanaogullari, Aziz, Dudy, Shiran, Galvin-McLaughlin, Deirdre, Klee, Daniel, Memmott, Tab, Peters, Betts, Wiedrick, Jack, Fried-Oken, Melanie, Oken, Barry
Publikováno v:
In Contemporary Clinical Trials Communications August 2022 28