Zobrazeno 1 - 10
of 7 659
pro vyhledávání: '"Argaman A"'
Kniha
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Autor:
Kimsey, Lynn S.1 lskimsey@ucdavis.edu, Brothers, Denis J.2
Publikováno v:
Journal of Hymenoptera Research. 2016, Issue 50, p141-178. 38p.
Akademický článek
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Autor:
Gadallah, Neveen Samy1 n_gadallah@hotmail.com, Soliman, Ahmed Mostafa2,3, AlDryhim, Yousif Nasser2, Al Dhafer, Hathal Mohammed2
Publikováno v:
Journal of Hymenoptera Research. 2019, Issue 70, p17-40. 24p.
Autor:
Neveen Samy Gadallah, Ahmed Mostafa Soliman, Yousif Nasser Aldryhim, Hathal Mohammed Al Dhafer
Publikováno v:
Journal of Hymenoptera Research, Vol 70, Iss , Pp 17-40 (2019)
The species of the genus Micatagla Argaman (Bradynobaenidae: Apterogyninae) in Saudi Arabia are reviewed. A single species, M. antropovi Pagliano, 2002, has previously been reported from Abu Arish (Jazan region, Saudi Arabia). Four new species based
Externí odkaz:
https://doaj.org/article/e0b3fe118a584cb6adb9d507729ef805
Publikováno v:
ACL 2024 Findings
Similar to vision-and-language navigation (VLN) tasks that focus on bridging the gap between vision and language for embodied navigation, the new Rendezvous (RVS) task requires reasoning over allocentric spatial relationships (independent of the obse
Externí odkaz:
http://arxiv.org/abs/2406.19967
Publikováno v:
ACL 2024 Findings
While large language models (LLMs) excel in various natural language tasks in English, their performance in lower-resourced languages like Hebrew, especially for generative tasks such as abstractive summarization, remains unclear. The high morphologi
Externí odkaz:
http://arxiv.org/abs/2406.03897
Powerful domain-independent planners have been developed to solve various types of planning problems. These planners often require a model of the acting agent's actions, given in some planning domain description language. Manually designing such an a
Externí odkaz:
http://arxiv.org/abs/2403.15251
Publikováno v:
EACL 2024
When communicating routes in natural language, the concept of acquired spatial knowledge is crucial for geographic information retrieval (GIR) and in spatial cognitive research. However, NLP navigation studies often overlook the impact of such acquir
Externí odkaz:
http://arxiv.org/abs/2402.16364
A significant challenge in applying planning technology to real-world problems lies in obtaining a planning model that accurately represents the problem's dynamics. Numeric Safe Action Models Learning (N-SAM) is a recently proposed algorithm that add
Externí odkaz:
http://arxiv.org/abs/2312.10705