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Akademický článek
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Autor:
Paraskevopoulos, Nikiforos, Steinberg, Matthew, Undseth, Brennan, Xue, Xiao, Sarkar, Aritra, Vandersypen, Lieven M. K., Feld, Sebastian
The design and benchmarking of quantum computer architectures traditionally rely on practical hardware restrictions, such as gate fidelities, control, and cooling. At the theoretical and software levels, numerous approaches have been proposed for ben
Externí odkaz:
http://arxiv.org/abs/2412.12874
Despite the continuous progress of Large Language Models (LLMs) across various tasks, their performance on mathematical problems and reasoning tasks remains limited. This limitation can be attributed, among other factors, to the inherent difficulty o
Externí odkaz:
http://arxiv.org/abs/2410.04094
In this work, we introduce Y-Drop, a regularization method that biases the dropout algorithm towards dropping more important neurons with higher probability. The backbone of our approach is neuron conductance, an interpretable measure of neuron impor
Externí odkaz:
http://arxiv.org/abs/2409.09088
The Vehicle Routing Problem with pickups, deliveries and spatiotemporal service constraints ($VRPPDSTC$) is a quite challenging algorithmic problem that can be dealt with in either an offline or an online fashion. In this work, we focus on a generali
Externí odkaz:
http://arxiv.org/abs/2408.06324
Autor:
Voukoutis, Leon, Roussis, Dimitris, Paraskevopoulos, Georgios, Sofianopoulos, Sokratis, Prokopidis, Prokopis, Papavasileiou, Vassilis, Katsamanis, Athanasios, Piperidis, Stelios, Katsouros, Vassilis
We describe the development and capabilities of Meltemi 7B, the first open Large Language Model for the Greek language. Meltemi 7B has 7 billion parameters and is trained on a 40 billion token Greek corpus. For the development of Meltemi 7B, we adapt
Externí odkaz:
http://arxiv.org/abs/2407.20743
Autor:
Paraskevopoulos, Nikiforos, Hamel, David, Sarkar, Aritra, Almudever, Carmen G., Feld, Sebastian
In the fast-paced field of quantum computing, identifying the architectural characteristics that will enable quantum processors to achieve high performance across a diverse range of quantum algorithms continues to pose a significant challenge. Given
Externí odkaz:
http://arxiv.org/abs/2407.18151
The development of speech technologies for languages with limited digital representation poses significant challenges, primarily due to the scarcity of available data. This issue is exacerbated in the era of large, data-intensive models. Recent resea
Externí odkaz:
http://arxiv.org/abs/2406.15284
Akademický článek
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As quantum computing devices increase in size with respect to the number of qubits, two-qubit interactions become more challenging, necessitating innovative and scalable qubit routing solutions. In this work, we introduce beSnake, a novel algorithm s
Externí odkaz:
http://arxiv.org/abs/2403.16090