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pro vyhledávání: '"Light P"'
The Big Data explosion has necessitated the development of search algorithms that scale sub-linearly in time and memory. While compression algorithms and search algorithms do exist independently, few algorithms offer both, and those which do are doma
Externí odkaz:
http://arxiv.org/abs/2409.12161
Autor:
Light, Dean, Aiashy, Ahmad, Diab, Mahmoud, Nachmias, Daniel, Vansummeren, Stijn, Kimelfeld, Benny
Document spanners have been proposed as a formal framework for declarative Information Extraction (IE) from text, following IE products from the industry and academia. Over the past decade, the framework has been studied thoroughly in terms of expres
Externí odkaz:
http://arxiv.org/abs/2409.01736
Autor:
Light, Jonathan, Cai, Min, Chen, Weiqin, Wang, Guanzhi, Chen, Xiusi, Cheng, Wei, Yue, Yisong, Hu, Ziniu
In this paper, we propose a new method Strategist that utilizes LLMs to acquire new skills for playing multi-agent games through a self-improvement process. Our method gathers quality feedback through self-play simulations with Monte Carlo tree searc
Externí odkaz:
http://arxiv.org/abs/2408.10635
In this paper, we explore the capabilities of state-of-the-art large language models (LLMs) such as GPT-4, GPT-4o, Claude 3.5 Sonnet, Claude 3 Opus, Gemini 1.5 Pro, Llama 3, and Llama 3.1 in solving some selected undergraduate-level transportation en
Externí odkaz:
http://arxiv.org/abs/2408.08302
Autor:
Light, Bar
These lecture notes are derived from a graduate-level course in dynamic optimization, offering an introduction to techniques and models extensively used in management science, economics, operations research, engineering, and computer science. The cou
Externí odkaz:
http://arxiv.org/abs/2408.03034
Offline reinforcement learning often requires a quality dataset that we can train a policy on. However, in many situations, it is not possible to get such a dataset, nor is it easy to train a policy to perform well in the actual environment given the
Externí odkaz:
http://arxiv.org/abs/2407.20299
Publikováno v:
Planet. Sci. J. 5 98 (2024)
Saturn's moon Titan possesses stratospheric zonal winds that places it among a sparse class of planetary bodies known to have superrotation in their atmospheres. Few measurements have been made of these speeds in the upper stratosphere, leaving their
Externí odkaz:
http://arxiv.org/abs/2404.08832
Autor:
Light, Bar
This note studies monotone Markov chains, a subclass of Markov chains with extensive applications in operations research and economics. While the properties that ensure the global stability of these chains are well studied, their establishment often
Externí odkaz:
http://arxiv.org/abs/2401.11568
Impact of Cosmic Rays on Atmospheric Ion Chemistry and Spectral Transmission Features of TRAPPIST-1e
Autor:
Herbst, Konstantin, Bartenschlager, Andreas, Grenfell, John Lee, Iro, Nicolas, Sinnhuber, Miriam, Taysum, Benjamin, Wunderlich, Fabian, Engelbrecht, N. Eugene, Light, Juandre, Moloto, Katlego D., Harre, Jan-Vincent, Rauer, Heike, Schreier, Franz
Ongoing observing projects like the James Webb Space Telescope (JWST) and future missions offer the chance to characterize Earth-like exoplanetary atmospheres. Thereby, M-dwarfs are preferred targets for transit observations, for example, due to thei
Externí odkaz:
http://arxiv.org/abs/2311.04684
Autor:
Han, Minbiao, Light, Jonathan, Xia, Steven, Galhotra, Sainyam, Fernandez, Raul Castro, Xu, Haifeng
Data fuels machine learning (ML) - rich and high-quality training data is essential to the success of ML. However, to transform ML from the race among a few large corporations to an accessible technology that serves numerous normal users' data analys
Externí odkaz:
http://arxiv.org/abs/2310.17843