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pro vyhledávání: '"Malfa P"'
Deep Neural Networks (DNNs) can be represented as graphs whose links and vertices iteratively process data and solve tasks sub-optimally. Complex Network Theory (CNT), merging statistical physics with graph theory, provides a method for interpreting
Externí odkaz:
http://arxiv.org/abs/2404.11172
Autor:
Huang, X. Angelo, La Malfa, Emanuele, Marro, Samuele, Asperti, Andrea, Cohn, Anthony, Wooldridge, Michael
Theory of Mind (ToM) can be used to assess the capabilities of Large Language Models (LLMs) in complex scenarios where social reasoning is required. While the research community has proposed many ToM benchmarks, their hardness varies greatly, and the
Externí odkaz:
http://arxiv.org/abs/2406.11911
Autor:
Lin, Fangru, La Malfa, Emanuele, Hofmann, Valentin, Yang, Elle Michelle, Cohn, Anthony, Pierrehumbert, Janet B.
Planning is a fundamental property of human intelligence. Reasoning about asynchronous plans is challenging since it requires sequential and parallel planning to optimize time costs. Can large language models (LLMs) succeed at this task? Here, we pre
Externí odkaz:
http://arxiv.org/abs/2402.02805
Autor:
La Malfa, Emanuele, Weinhuber, Christoph, Torre, Orazio, Lin, Fangru, Marro, Samuele, Cohn, Anthony, Shadbolt, Nigel, Wooldridge, Michael
Many reasoning, planning, and problem-solving tasks share an intrinsic algorithmic nature: correctly simulating each step is a sufficient condition to solve them correctly. This work studies to what extent Large Language Models (LLMs) can simulate co
Externí odkaz:
http://arxiv.org/abs/2401.09074
Autor:
La Malfa, Emanuele, Petrov, Aleksandar, Frieder, Simon, Weinhuber, Christoph, Burnell, Ryan, Cohn, Anthony G., Shadbolt, Nigel, Wooldridge, Michael
Some of the most powerful language models currently are proprietary systems, accessible only via (typically restrictive) web or software programming interfaces. This is the Language-Models-as-a-Service (LMaaS) paradigm. Contrasting with scenarios whe
Externí odkaz:
http://arxiv.org/abs/2309.16573
Recent language models have shown impressive multilingual performance, even when not explicitly trained for it. Despite this, there are concerns about the quality of their outputs across different languages. In this paper, we show how disparity in th
Externí odkaz:
http://arxiv.org/abs/2305.15425
Deep Neural Networks are, from a physical perspective, graphs whose `links` and `vertices` iteratively process data and solve tasks sub-optimally. We use Complex Network Theory (CNT) to represents Deep Neural Networks (DNNs) as directed weighted grap
Externí odkaz:
http://arxiv.org/abs/2209.05488
Autor:
Chiara Catalano, Mario Di Guardo, Giuliana Licciardello, Sebastiano Seminara, Giovanna Tropea Garzia, Antonio Biondi, Michela Troggio, Luca Bianco, Stefano La Malfa, Alessandra Gentile, Gaetano Distefano
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Among the Citrus species, lemon (Citrus limon Burm f.) is one of the most affected by the two-spotted spider mite (Tetranychus urticae Koch). Moreover, chemical control is hampered by the mite’s ability to develop genetic resist
Externí odkaz:
https://doaj.org/article/bf4d41026da1436caf7487c39cc609bc
Large Language Models (LLMs) have been reported to have strong performance on natural language processing tasks. However, performance metrics such as accuracy do not measure the quality of the model in terms of its ability to robustly represent compl
Externí odkaz:
http://arxiv.org/abs/2210.17406
Autor:
Thomson M. Paris, Nicholas Johnston, Iris Strzyzewski, Jessica L. Griesheimer, Benjamin Reimer, Kathi Malfa, Sandra A. Allan, Xavier Martini
Publikováno v:
PeerJ, Vol 12, p e17665 (2024)
The sweetpotato whitefly, Bemisia tabaci MEAM1, is one of the most devastating pests of row-crop vegetables worldwide, damaging crops directly through feeding and indirectly through the transmission of many different viruses, including the geminiviru
Externí odkaz:
https://doaj.org/article/abf24729b7b244bf93be483ed0503376