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pro vyhledávání: '"Jain, Atishay"'
Autor:
Shen, Junhong, Jain, Atishay, Xiao, Zedian, Amlekar, Ishan, Hadji, Mouad, Podolny, Aaron, Talwalkar, Ameet
Large Language Model (LLM) agents are rapidly improving to handle increasingly complex web-based tasks. Most of these agents rely on general-purpose, proprietary models like GPT-4 and focus on designing better prompts to improve their planning abilit
Externí odkaz:
http://arxiv.org/abs/2411.15004
Autor:
Thakur, Himanshu, Jain, Atishay, Vaddamanu, Praneetha, Liang, Paul Pu, Morency, Louis-Philippe
Societal biases present in pre-trained large language models are a critical issue as these models have been shown to propagate biases in countless downstream applications, rendering them unfair towards specific groups of people. Since large-scale ret
Externí odkaz:
http://arxiv.org/abs/2306.04597
Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how it propag
Externí odkaz:
http://arxiv.org/abs/1904.11679
Artificial Intelligence is becoming instrumental in a variety of applications. Games serve as a good breeding ground for trying and testing these algorithms in a sandbox with simpler constraints in comparison to real life. In this project, we aim to
Externí odkaz:
http://arxiv.org/abs/1807.00049
Akademický článek
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Autor:
Jain, Atishay
Generic 3D reconstruction from a single image is a difficult problem. A lot of data loss occurs in the projection. A domain based approach to reconstruction where we solve a smaller set of problems for a particular use case lead to greater returns. T
Externí odkaz:
http://arxiv.org/abs/1606.05785
Memory-efficient semantic segmentation of large microscopy images using graph-based neural networks.
Publikováno v:
Microscopy; Jun2024, Vol. 73 Issue 3, p275-286, 12p
Publikováno v:
In Materials Today: Proceedings 2020 26 Part 2:1159-1166
Akademický článek
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