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pro vyhledávání: '"Gupta, Tanishq"'
This work introduces a Strategic Pseudo-Goal Perturbation (SPGP) technique, a novel approach to resolve deadlock situations in multi-agent navigation scenarios. Leveraging the robust framework of Safety Barrier Certificates, our method integrates a s
Externí odkaz:
http://arxiv.org/abs/2407.17766
Autor:
Gupta, Tanishq, Zaki, Mohd, Khatsuriya, Devanshi, Hira, Kausik, Krishnan, N. M. Anoop, Mausam
A crucial component in the curation of KB for a scientific domain (e.g., materials science, foods & nutrition, fuels) is information extraction from tables in the domain's published research articles. To facilitate research in this direction, we defi
Externí odkaz:
http://arxiv.org/abs/2207.01079
An overwhelmingly large amount of knowledge in the materials domain is generated and stored as text published in peer-reviewed scientific literature. Recent developments in natural language processing, such as bidirectional encoder representations fr
Externí odkaz:
http://arxiv.org/abs/2109.15290
Augmenting pre-trained language models with knowledge graphs (KGs) has achieved success on various commonsense reasoning tasks. However, for a given task instance, the KG, or certain parts of the KG, may not be useful. Although KG-augmented models of
Externí odkaz:
http://arxiv.org/abs/2104.08793
Autor:
Gupta, Tanishq, Bharti, Poonam, Arora, Kirti, Pandey, Vikas Kumar, Maity, Manish Kumar, Bharti, Aman
Publikováno v:
African Journal of Biomedical Research; Sep2024, Vol. 27 Issue 3, p226-232, 7p
Akademický článek
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