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Autor:
Sultana, Riya, Kavitha, Veeraruna
This paper investigates the potential benefits of cooperation in scenarios where finitely many agents compete for shared resources, leading to congestion and thereby reduced rewards. By appropriate coordination the members of the cooperating group (a
Externí odkaz:
http://arxiv.org/abs/2410.06797
There is an increasing body of work using Large Language Models (LLMs) as agents for orchestrating workflows and making decisions in domains that require planning and multi-step reasoning. As a result, it is imperative to evaluate LLMs on core skills
Externí odkaz:
http://arxiv.org/abs/2410.05669
Planning remains one of the last standing bastions for large language models (LLMs), which now turn their attention to search. Most of the literature uses the language models as world models to define the search space, forgoing soundness for the sake
Externí odkaz:
http://arxiv.org/abs/2408.11326
Autor:
Agliardi, Gabriele, Cortiana, Giorgio, Dekusar, Anton, Ghosh, Kumar, Mohseni, Naeimeh, O'Meara, Corey, Valls, Víctor, Yogaraj, Kavitha, Zhuk, Sergiy
Electric Vehicles (EVs) are emerging as battery energy storage systems (BESSs) of increasing importance for different power grid services. However, the unique characteristics of EVs makes them more difficult to operate than dedicated BESSs. In this w
Externí odkaz:
http://arxiv.org/abs/2407.20802
Autor:
Khatiwada, Aamod, Kokel, Harsha, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dolby, Julian, Hassanzadeh, Oktie, Huang, Zhenhan, Pedapati, Tejaswini, Samulowitz, Horst, Srinivas, Kavitha
Enterprises have a growing need to identify relevant tables in data lakes; e.g. tables that are unionable, joinable, or subsets of each other. Tabular neural models can be helpful for such data discovery tasks. In this paper, we present TabSketchFM,
Externí odkaz:
http://arxiv.org/abs/2407.01619
Autor:
Munson, Karl, Ting, Chih-Kai, Wade, Serenity, Savla, Anish, Dolby, Julian, Kate, Kiran, Srinivas, Kavitha
Like text, programs have styles, and certain programming styles are more desirable than others for program readability, maintainability, and performance. Code style transfer, however, is difficult to automate except for trivial style guidelines such
Externí odkaz:
http://arxiv.org/abs/2406.10320
Inventory control typically considers controlling the price and the production rate. However, such systems have rigidity towards altering the physical storage capacity -- one can not easily alter the physical size after the initial design. The paper
Externí odkaz:
http://arxiv.org/abs/2406.05526
The classical game theory models rational players and proposes Nash equilibrium (NE) as the solution. However, real-world scenarios rarely feature rational players; instead, players make inconsistent and irrational decisions. Often, irrational player
Externí odkaz:
http://arxiv.org/abs/2406.03928
Autor:
Lee, Andrew H., Semnani, Sina J., Castillo-López, Galo, de Chalendar, Gäel, Choudhury, Monojit, Dua, Ashna, Kavitha, Kapil Rajesh, Kim, Sungkyun, Kodali, Prashant, Kumaraguru, Ponnurangam, Lombard, Alexis, Moradshahi, Mehrad, Park, Gihyun, Semmar, Nasredine, Seo, Jiwon, Shen, Tianhao, Shrivastava, Manish, Xiong, Deyi, Lam, Monica S.
Creating multilingual task-oriented dialogue (TOD) agents is challenging due to the high cost of training data acquisition. Following the research trend of improving training data efficiency, we show for the first time, that in-context learning is su
Externí odkaz:
http://arxiv.org/abs/2405.17840