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pro vyhledávání: '"So Doge"'
Autor:
Zhou, Yinan, Chen, Yuxin, Lin, Haokun, Yang, Shuyu, Zhu, Li, Qi, Zhongang, Ma, Chen, Shan, Ying
In recent years, Multimodal Large Language Models (MLLMs) have increasingly emphasized grounding and referring capabilities to achieve detailed understanding and flexible user interaction. However, in the realm of visual document understanding, these
Externí odkaz:
http://arxiv.org/abs/2411.17125
Most existing visual-inertial odometry (VIO) initialization methods rely on accurate pre-calibrated extrinsic parameters. However, during long-term use, irreversible structural deformation caused by temperature changes, mechanical squeezing, etc. wil
Externí odkaz:
http://arxiv.org/abs/2412.08135
The coverage and composition of the pretraining data significantly impacts the generalization ability of Large Language Models (LLMs). Despite its importance, recent LLMs still rely on heuristics and trial and error to increase or reduce the influenc
Externí odkaz:
http://arxiv.org/abs/2310.15393
Autor:
Pekić Radmilo B., Mitić Marija N.
Publikováno v:
Zbornik Radova Filozofskog Fakulteta u Prištini, Vol 54, Iss 3, Pp 237-245 (2024)
The 16th-century records produced by the office of the Venetian Doge comprise a rich collection of official documents. They were written according to the rules of ars dictaminis and represent important testimonies in the field of history, diplomacy,
Externí odkaz:
https://doaj.org/article/0dadf1038b92470d86ea740b091964c6
Over-parameterized models, typically pretrained language models (LMs), have shown an appealing expressive power due to their small learning bias. However, the huge learning capacity of LMs can also lead to large learning variance. In a pilot study, w
Externí odkaz:
http://arxiv.org/abs/2207.09638
Autor:
Merelo-Guervós, J. J.
The Venetian republic was one of the most successful trans-modern states, surviving for a millennium through innovation, commercial cunning, exploitation of colonies and legal stability. Part of the success might be due to its government structure, a
Externí odkaz:
http://arxiv.org/abs/2209.07334
Kniha
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Autor:
Abbas, Ahmed, Swoboda, Paul
We present a fast, scalable, data-driven approach for solving relaxations of 0-1 integer linear programs. We use a combination of graph neural networks (GNN) and the Lagrange decomposition based algorithm FastDOG (Abbas and Swoboda 2022b). We make th
Externí odkaz:
http://arxiv.org/abs/2205.11638
Publikováno v:
ACM Transactions on Internet Technology 23, 1, Article 11 (February 2023), 28 pages
Cryptocurrencies are increasingly popular. Even people who are not experts have started to invest in these assets, and nowadays, cryptocurrency exchanges process transactions for over 100 billion US dollars per month. Despite this, many cryptocurrenc
Externí odkaz:
http://arxiv.org/abs/2105.00733