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pro vyhledávání: '"Nambi A"'
A deep learning (DL)-based communication system offers advantages over traditional mathematically modelled systems, as the former may be jointly optimized. FCNNs (Fully Connected Neural Networks) are common Deep Learning architectures. Though they ar
Externí odkaz:
http://arxiv.org/abs/2409.01129
Autor:
Channarayappa, Sharath Kumar, Kumar, Sankalp, Vidhyadhiraja, N. S., Pujari, Sumiran, Saravanan, M. P., Sebastian, Amal, Choi, Eun Sang, Chikara, Shalinee, Nambi, Dolly, Suresh, Athira, Lal, Siddhartha, Jaiswal-Nagar, D.
The ground state of a one-dimensional spin-1/2 uniform antiferromagnetic Heisenberg chain (AfHc) is a Tomonaga-Luttinger liquid which is quantum-critical with respect to applied magnetic fields upto a saturation field Hs beyond which it transforms to
Externí odkaz:
http://arxiv.org/abs/2408.11163
Autor:
Wu, Nemin, Cao, Qian, Wang, Zhangyu, Liu, Zeping, Qi, Yanlin, Zhang, Jielu, Ni, Joshua, Yao, Xiaobai, Ma, Hongxu, Mu, Lan, Ermon, Stefano, Ganu, Tanuja, Nambi, Akshay, Lao, Ni, Mai, Gengchen
Spatial representation learning (SRL) aims at learning general-purpose neural network representations from various types of spatial data (e.g., points, polylines, polygons, networks, images, etc.) in their native formats. Learning good spatial repres
Externí odkaz:
http://arxiv.org/abs/2406.15658
Autor:
Wang, Hengyi, Shi, Haizhou, Tan, Shiwei, Qin, Weiyi, Wang, Wenyuan, Zhang, Tunyu, Nambi, Akshay, Ganu, Tanuja, Wang, Hao
Multimodal Large Language Models (MLLMs) have shown significant promise in various applications, leading to broad interest from researchers and practitioners alike. However, a comprehensive evaluation of their long-context capabilities remains undere
Externí odkaz:
http://arxiv.org/abs/2406.11230
Large Language Models (LLMs) have been applied to Math Word Problems (MWPs) with transformative impacts, revolutionizing how these complex problems are approached and solved in various domains including educational settings. However, the evaluation o
Externí odkaz:
http://arxiv.org/abs/2406.10834
Autor:
Nambi, Marie Amalore, Kumar, Neeraj
An ideal $I$ of a commutative ring $R$ is said to be of linear type when its Rees algebra and symmetric algebra exhibit isomorphism. In this paper, we investigate the conjecture put forth by Jayanthan, Kumar, and Sarkar (2021) that if $G$ is a tree o
Externí odkaz:
http://arxiv.org/abs/2406.05960
Large language models (LLMs) have revolutionized AI across diverse domains, showcasing remarkable capabilities. Central to their success is the concept of prompting, which guides model output generation. However, manual prompt engineering is labor-in
Externí odkaz:
http://arxiv.org/abs/2405.18369
Autor:
Kumar, Somnath, Balloli, Vaibhav, Ranjit, Mercy, Ahuja, Kabir, Ganu, Tanuja, Sitaram, Sunayana, Bali, Kalika, Nambi, Akshay
Large language models (LLMs) are at the forefront of transforming numerous domains globally. However, their inclusivity and effectiveness remain limited for non-Latin scripts and low-resource languages. This paper tackles the imperative challenge of
Externí odkaz:
http://arxiv.org/abs/2405.18359
Recent advancements in Multi-modal Large Language Models (MLLMs) have significantly improved their performance in tasks combining vision and language. However, challenges persist in detailed multi-modal understanding, comprehension of complex tasks,
Externí odkaz:
http://arxiv.org/abs/2405.18358
Autor:
Nambi, Marie Amalore, Kumar, Neeraj
In this paper, we prove the conjectures of Gharakhloo and Welker (2023) that the positive matching decomposition number (pmd) of a $3$-uniform hypergraph is bounded from above by a polynomial of degree $2$ in terms of the number of vertices. Moreover
Externí odkaz:
http://arxiv.org/abs/2309.15424