Zobrazeno 1 - 10
of 125 158
pro vyhledávání: '"A. ak"'
Autor:
Moreira, Gabriel de Souza P., Ak, Ronay, Schifferer, Benedikt, Xu, Mengyao, Osmulski, Radek, Oldridge, Even
Ranking models play a crucial role in enhancing overall accuracy of text retrieval systems. These multi-stage systems typically utilize either dense embedding models or sparse lexical indices to retrieve relevant passages based on a given query, foll
Externí odkaz:
http://arxiv.org/abs/2409.07691
Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Comment: arXiv admin note: Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Comment: arXiv admin note: Removed per arXiv policy. Please see version at https://doi.org/10.31219/osf.io/4wqcr
Externí odkaz:
http://arxiv.org/abs/2409.00104
Autor:
Moreira, Gabriel de Souza P., Osmulski, Radek, Xu, Mengyao, Ak, Ronay, Schifferer, Benedikt, Oldridge, Even
Text embedding models have been popular for information retrieval applications such as semantic search and Question-Answering systems based on Retrieval-Augmented Generation (RAG). Those models are typically Transformer models that are fine-tuned wit
Externí odkaz:
http://arxiv.org/abs/2407.15831
We present the results of the observational study of the blazar S5 0716+716 in the optical bands B, V, R, and I between March 2019 and August 2023 to investigate its variability on diverse time-scales. The blazar was followed up by the T60 robotic te
Externí odkaz:
http://arxiv.org/abs/2407.09419
Autor:
Khiarak, Jalil Nourmohammadi, Ahmadi, Ammar, Saeed, Taher Ak-bari, Asgari-Chenaghlu, Meysam, Atabay, Toğrul, Karimi, Mohammad Reza Baghban, Ceferli, Ismail, Hasanvand, Farzad, Mousavi, Seyed Mahboub, Noshad, Morteza
This paper introduces a pioneering English-Azerbaijani (Arabic Script) parallel corpus, designed to bridge the technological gap in language learning and machine translation (MT) for under-resourced languages. Consisting of 548,000 parallel sentences
Externí odkaz:
http://arxiv.org/abs/2407.05189
This study explores implementing a digital twin network (DTN) for efficient 6G wireless network management, aligning with the fault, configuration, accounting, performance, and security (FCAPS) model. The DTN architecture comprises the Physical Twin
Externí odkaz:
http://arxiv.org/abs/2404.11394
A detailed analysis of ground-based CCD UBV photometry and space-based Gaia Data Release 3 (DR3) data for the open clusters King 6 and NGC 1605 was performed. Using the pyUPMASK algorithm on Gaia astrometric data to estimate cluster membership probab
Externí odkaz:
http://arxiv.org/abs/2311.00054
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks
Externí odkaz:
http://arxiv.org/abs/2402.00839
Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA
Externí odkaz:
http://arxiv.org/abs/2402.00831
Autor:
Kim, Taehoon, Ahn, Pyunghwan, Kim, Sangyun, Lee, Sihaeng, Marsden, Mark, Sala, Alessandra, Kim, Seung Hwan, Han, Bohyung, Lee, Kyoung Mu, Lee, Honglak, Bae, Kyounghoon, Wu, Xiangyu, Gao, Yi, Zhang, Hailiang, Yang, Yang, Guo, Weili, Lu, Jianfeng, Oh, Youngtaek, Cho, Jae Won, Kim, Dong-jin, Kweon, In So, Kim, Junmo, Kang, Wooyoung, Jhoo, Won Young, Roh, Byungseok, Mun, Jonghwan, Oh, Solgil, Ak, Kenan Emir, Lee, Gwang-Gook, Xu, Yan, Shen, Mingwei, Hwang, Kyomin, Shin, Wonsik, Lee, Kamin, Park, Wonhark, Lee, Dongkwan, Kwak, Nojun, Wang, Yujin, Wang, Yimu, Gu, Tiancheng, Lv, Xingchang, Sun, Mingmao
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision community to develop robust image capt
Externí odkaz:
http://arxiv.org/abs/2309.01961