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pro vyhledávání: '"Cook, Jonathan A"'
Given the widespread adoption and usage of Large Language Models (LLMs), it is crucial to have flexible and interpretable evaluations of their instruction-following ability. Preference judgments between model outputs have become the de facto evaluati
Externí odkaz:
http://arxiv.org/abs/2410.03608
Cultural accumulation drives the open-ended and diverse progress in capabilities spanning human history. It builds an expanding body of knowledge and skills by combining individual exploration with inter-generational information transmission. Despite
Externí odkaz:
http://arxiv.org/abs/2406.00392
The exponential growth in the number of Internet of Things (IoT) devices has seen the introduction of several Lightweight Encryption Algorithms (LEA). While LEAs are designed to enhance the integrity, privacy and security of data collected and transm
Externí odkaz:
http://arxiv.org/abs/2405.04735
Rapid growth in the number of small sensor devices known as the Internet of Things (IoT) has seen the development of lightweight encryption algorithms. Two well-known lightweight algorithms are SIMON and SIMECK which have been specifically designed f
Externí odkaz:
http://arxiv.org/abs/2404.08165
Autor:
Rutherford, Alexander, Ellis, Benjamin, Gallici, Matteo, Cook, Jonathan, Lupu, Andrei, Ingvarsson, Gardar, Willi, Timon, Khan, Akbir, de Witt, Christian Schroeder, Souly, Alexandra, Bandyopadhyay, Saptarashmi, Samvelyan, Mikayel, Jiang, Minqi, Lange, Robert Tjarko, Whiteson, Shimon, Lacerda, Bruno, Hawes, Nick, Rocktaschel, Tim, Lu, Chris, Foerster, Jakob Nicolaus
Benchmarks play an important role in the development of machine learning algorithms. For example, research in reinforcement learning (RL) has been heavily influenced by available environments and benchmarks. However, RL environments are traditionally
Externí odkaz:
http://arxiv.org/abs/2311.10090
The growth in the use of small sensor devices, commonly known as the Internet of Things (IoT), has resulted in unprecedented amounts of data being generated and captured. With the rapidly growing popularity of personal IoT devices, the collection of
Externí odkaz:
http://arxiv.org/abs/2304.00713
Autor:
Ellis, Benjamin, Cook, Jonathan, Moalla, Skander, Samvelyan, Mikayel, Sun, Mingfei, Mahajan, Anuj, Foerster, Jakob N., Whiteson, Shimon
The availability of challenging benchmarks has played a key role in the recent progress of machine learning. In cooperative multi-agent reinforcement learning, the StarCraft Multi-Agent Challenge (SMAC) has become a popular testbed for centralised tr
Externí odkaz:
http://arxiv.org/abs/2212.07489
Autor:
Worth, Claudia *, Al-Mossawi, M Hussein, Macdonald, Joanne, Fisher, Benjamin A, Chan, Antoni, Sengupta, Raj, Packham, Jonathan, Gaffney, Karl, Gullick, Nicola, Cook, Jonathan A, Corn, Tim H, Teh, James, Machado, Pedro M, Taylor, Peter C, Bowness, Paul
Publikováno v:
In The Lancet Rheumatology August 2024 6(8):e537-e545