Zobrazeno 1 - 10
of 25 821
pro vyhledávání: '"A Dehghan"'
Autor:
A Abedini, A Dehghan Anari
Publikováno v:
Iranian Journal of Physics Research, Vol 21, Iss 4, Pp 725-734 (2022)
Oscillations in various structures of the solar atmosphere, such as transverse (kink) oscillations of coronal loops, can be used in seismology. Transvers kink oscillations of coronal loops are often accompanied by solar flares. Despite the intensive
Externí odkaz:
https://doaj.org/article/a71216370e274835bacdfa41e894b73b
[Context] Large Language Models (LLMs) have shown good performance in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. Adapters are specialized, small modules designed for par
Externí odkaz:
http://arxiv.org/abs/2408.09568
Autor:
Karakaya, Erciyes, Ercetin, Ozgur, Ozkan, Huseyin, Karaca, Mehmet, Biyar, Elham Dehghan, Palaios, Alexandros
The growing complexity of networks and the variety of future scenarios with diverse and often stringent performance requirements call for a higher level of automation. Intent-based management emerges as a solution to attain high level of automation,
Externí odkaz:
http://arxiv.org/abs/2407.17767
Autor:
Xu, Mingze, Gao, Mingfei, Gan, Zhe, Chen, Hong-You, Lai, Zhengfeng, Gang, Haiming, Kang, Kai, Dehghan, Afshin
We propose SlowFast-LLaVA (or SF-LLaVA for short), a training-free video large language model (LLM) that can jointly capture detailed spatial semantics and long-range temporal context without exceeding the token budget of commonly used LLMs. This is
Externí odkaz:
http://arxiv.org/abs/2407.15841
Autor:
Bruns, Axel, Kasianenko, Kateryna, Suresh, Vishnu Padinjaredath, Dehghan, Ehsan, Vodden, Laura
This article introduces the analytical approach of practice mapping, using vector embeddings of network actions and interactions to map commonalities and disjunctures in the practices of social media users, as a framework for methodological advanceme
Externí odkaz:
http://arxiv.org/abs/2407.05956
Autor:
Amirloo, Elmira, Fauconnier, Jean-Philippe, Roesmann, Christoph, Kerl, Christian, Boney, Rinu, Qian, Yusu, Wang, Zirui, Dehghan, Afshin, Yang, Yinfei, Gan, Zhe, Grasch, Peter
Preference alignment has become a crucial component in enhancing the performance of Large Language Models (LLMs), yet its impact in Multimodal Large Language Models (MLLMs) remains comparatively underexplored. Similar to language models, MLLMs for im
Externí odkaz:
http://arxiv.org/abs/2407.02477
Autor:
Dehghan, Mohammad, Alomrani, Mohammad Ali, Bagga, Sunyam, Alfonso-Hermelo, David, Bibi, Khalil, Ghaddar, Abbas, Zhang, Yingxue, Li, Xiaoguang, Hao, Jianye, Liu, Qun, Lin, Jimmy, Chen, Boxing, Parthasarathi, Prasanna, Biparva, Mahdi, Rezagholizadeh, Mehdi
The emerging citation-based QA systems are gaining more attention especially in generative AI search applications. The importance of extracted knowledge provided to these systems is vital from both accuracy (completeness of information) and efficienc
Externí odkaz:
http://arxiv.org/abs/2406.10393
Autor:
Bachmann, Roman, Kar, Oğuzhan Fatih, Mizrahi, David, Garjani, Ali, Gao, Mingfei, Griffiths, David, Hu, Jiaming, Dehghan, Afshin, Zamir, Amir
Current multimodal and multitask foundation models like 4M or UnifiedIO show promising results, but in practice their out-of-the-box abilities to accept diverse inputs and perform diverse tasks are limited by the (usually rather small) number of moda
Externí odkaz:
http://arxiv.org/abs/2406.09406
Recently, frame multipliers, pair frames, and controlled frames have been investigated to improve the numerical efficiency of iterative algorithms for inverting the frame operator and other applications of frames. In this paper, the concept of bifram
Externí odkaz:
http://arxiv.org/abs/2405.16990
Maximal Center Gauge (MCG) aims to detect center vortices by maximizing a gauge functional and then projecting onto the center elements of the respective group. The requirement for unrestricted maximization of the gauge functional has proven to be un
Externí odkaz:
http://arxiv.org/abs/2404.13304