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pro vyhledávání: '"Saldyt, Lucas P."'
Autor:
Saldyt, Lucas, Kambhampati, Subbarao
Important tasks such as reasoning and planning are fundamentally algorithmic, meaning that solving them robustly requires acquiring true reasoning or planning algorithms, rather than shortcuts. Large Language Models lack true algorithmic ability prim
Externí odkaz:
http://arxiv.org/abs/2407.04899
Autor:
Kambhampati, Subbarao, Valmeekam, Karthik, Guan, Lin, Verma, Mudit, Stechly, Kaya, Bhambri, Siddhant, Saldyt, Lucas, Murthy, Anil
Publikováno v:
Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024
There is considerable confusion about the role of Large Language Models (LLMs) in planning and reasoning tasks. On one side are over-optimistic claims that LLMs can indeed do these tasks with just the right prompting or self-verification strategies.
Externí odkaz:
http://arxiv.org/abs/2402.01817
Akademický článek
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Autor:
Guo, Xiaohui, Lin, Michael R., azizi, Asma, Saldyt, Lucas P., Kang, Yun, Pavlic, Theodore P., Fewell, Jennifer H.
Supplementary materials for details of analyses about: 1)Spatial proximity for physical contact; 2)Training/Testing data; 3)AUC-ROC and Youden index estimations; 4)Distance-dependent efficacy of alarm signal propagation; 5)Pathway of alarm signal pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8a6b50436c0ef3271aa617911c4007c
Autor:
Xiaohui Guo, Lin, Michael R., Azizi, Asma, Saldyt, Lucas P., Yun Kang, Pavlic, Theodore P., Fewell, Jennifer H.
Publikováno v:
Proceedings of the Royal Society B: Biological Sciences; 1/26/2022, Vol. 289 Issue 1967, p1-10, 10p