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pro vyhledávání: '"Bensemann"'
Autor:
Simpson, Peter
Publikováno v:
Journal of New Zealand Literature (JNZL), 2014 Jan 01(32), 31-68.
Externí odkaz:
https://www.jstor.org/stable/43198617
GPT-4 is often heralded as a leading commercial AI offering, sparking debates over its potential as a steppingstone toward artificial general intelligence. But does it possess consciousness? This paper investigates this key question using the nine qu
Externí odkaz:
http://arxiv.org/abs/2407.09517
A distinction is often drawn between a model's ability to predict a label for an evaluation sample that is directly memorised from highly similar training samples versus an ability to predict the label via some method of generalisation. In the contex
Externí odkaz:
http://arxiv.org/abs/2311.12337
Recent advances in artificial intelligence, including the development of highly sophisticated large language models (LLM), have proven beneficial in many real-world applications. However, evidence of inherent bias encoded in these LLMs has raised con
Externí odkaz:
http://arxiv.org/abs/2309.08624
Publikováno v:
Information Technology & People, 2023, Vol. 37, Issue 5, pp. 1897-1917.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ITP-01-2021-0060
Autor:
Knowles, Kobe, Bensemann, Joshua, Benavides-Prado, Diana, Yogarajan, Vithya, Witbrock, Michael, Dobbie, Gillian, Chen, Yang
We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We compare it to baselines and show that it results in the best average p
Externí odkaz:
http://arxiv.org/abs/2305.03232
Autor:
Tan, Neşet Özkan, Peng, Alex Yuxuan, Bensemann, Joshua, Bao, Qiming, Hartill, Tim, Gahegan, Mark, Witbrock, Michael
Identifying words that impact a task's performance more than others is a challenge in natural language processing. Transformers models have recently addressed this issue by incorporating an attention mechanism that assigns greater attention (i.e., re
Externí odkaz:
http://arxiv.org/abs/2303.07585
Transformers have recently been shown to be capable of reliably performing logical reasoning over facts and rules expressed in natural language, but abductive reasoning - inference to the best explanation of an unexpected observation - has been under
Externí odkaz:
http://arxiv.org/abs/2203.12186
Autor:
Vangioni, Peter
Publikováno v:
Bulletin of the Christchurch Art Gallery; Spring2024, Issue 217, p38-47, 8p
Publikováno v:
Journal of Artificial Intelligence and Consciousness, 1-15 (2021)
Processes occurring in brains, a.k.a. biological neural networks, can and have been modeled within artificial neural network architectures. Due to this, we have conducted a review of research on the phenomenon of blindsight in an attempt to generate
Externí odkaz:
http://arxiv.org/abs/2201.00616