Zobrazeno 1 - 10
of 8 550
pro vyhledávání: '"A. Naren"'
Autor:
Bhaskara, Aditya, Jha, Agastya Vibhuti, Kapralov, Michael, Manoj, Naren Sarayu, Mazzali, Davide, Wrzos-Kaminska, Weronika
In a graph bisection problem, we are given a graph $G$ with two equally-sized unlabeled communities, and the goal is to recover the vertices in these communities. A popular heuristic, known as spectral clustering, is to output an estimated community
Externí odkaz:
http://arxiv.org/abs/2412.14315
Building on their demonstrated ability to perform a variety of tasks, we investigate the application of large language models (LLMs) to enhance in-depth analytical reasoning within the context of intelligence analysis. Intelligence analysts typically
Externí odkaz:
http://arxiv.org/abs/2411.16116
Autor:
Sachdeva, Bhuvan, Akash, Naren, Ashraf, Tajamul, Mueller, Simon, Schultz, Thomas, Wintergerst, Maximilian W. M., Prasad, Niharika Singri, Murali, Kaushik, Jain, Mohit
Cataract surgery is the most common surgical procedure globally, with a disproportionately higher burden in developing countries. While automated surgical video analysis has been explored in general surgery, its application to ophthalmic procedures r
Externí odkaz:
http://arxiv.org/abs/2411.16794
Knowledge Graphs have emerged as a compelling abstraction for capturing key relationship among the entities of interest to enterprises and for integrating data from heterogeneous sources. JPMorgan Chase (JPMC) is leading this trend by leveraging know
Externí odkaz:
http://arxiv.org/abs/2411.02695
Autor:
Sengodan, Naren
Breast cancer histopathology image classification is crucial for early cancer detection, offering the potential to reduce mortality rates through timely diagnosis. This paper introduces a novel approach integrating Hybrid EfficientNet models with adv
Externí odkaz:
http://arxiv.org/abs/2410.22392
Autor:
Devarakonda, Venkata Naren, Goswami, Raktim Gautam, Kaypak, Ali Umut, Patel, Naman, Khorrambakht, Rooholla, Krishnamurthy, Prashanth, Khorrami, Farshad
Enabling robots to autonomously navigate unknown, complex, dynamic environments and perform diverse tasks remains a fundamental challenge in developing robust autonomous physical agents. These agents must effectively perceive their surroundings while
Externí odkaz:
http://arxiv.org/abs/2410.06239
Autor:
Manjunath, Naren, Else, Dominic V.
We consider systems in which a continuous symmetry $G$, which may be anomalous, is spontaneously broken to an anomaly-free subgroup $H$ such that the effective action for the Goldstone modes contains topologically non-trivial terms. If the original s
Externí odkaz:
http://arxiv.org/abs/2410.05268
Autor:
Tang, Xuxin, Krokos, Eric, Liu, Can, Davidson, Kylie, Whitley, Kirsten, Ramakrishnan, Naren, North, Chris
Large Language Models (LLMs) have been widely applied in summarization due to their speedy and high-quality text generation. Summarization for sensemaking involves information compression and insight extraction. Human guidance in sensemaking tasks ca
Externí odkaz:
http://arxiv.org/abs/2409.17289
Autor:
Devarakonda, Venkata Naren, Kaypak, Ali Umut, Yuan, Shuaihang, Krishnamurthy, Prashanth, Fang, Yi, Khorrami, Farshad
LLMs have shown promising results in task planning due to their strong natural language understanding and reasoning capabilities. However, issues such as hallucinations, ambiguities in human instructions, environmental constraints, and limitations in
Externí odkaz:
http://arxiv.org/abs/2409.16455
Autor:
Khatwani, Naren, Geller, James
A good medical ontology is expected to cover its domain completely and correctly. On the other hand, large ontologies are hard to build, hard to understand, and hard to maintain. Thus, adding new concepts (often multi-word concepts) to an existing on
Externí odkaz:
http://arxiv.org/abs/2409.06150