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pro vyhledávání: '"A A., Hamid"'
The quality of instruction data directly affects the performance of fine-tuned Large Language Models (LLMs). Previously, \cite{li2023one} proposed \texttt{NUGGETS}, which identifies and selects high-quality quality data from a large dataset by identi
Externí odkaz:
http://arxiv.org/abs/2412.09990
Autor:
Wang, Qiyao, Ni, Shiwen, Liu, Huaren, Lu, Shule, Chen, Guhong, Feng, Xi, Wei, Chi, Qu, Qiang, Alinejad-Rokny, Hamid, Lin, Yuan, Yang, Min
As the capabilities of Large Language Models (LLMs) continue to advance, the field of patent processing has garnered increased attention within the natural language processing community. However, the majority of research has been concentrated on clas
Externí odkaz:
http://arxiv.org/abs/2412.09796
Autor:
Paischer, Fabian, Yang, Liu, Liu, Linfeng, Shao, Shuai, Hassani, Kaveh, Li, Jiacheng, Chen, Ricky, Li, Zhang Gabriel, Gao, Xialo, Shao, Wei, Feng, Xue, Noorshams, Nima, Park, Sem, Long, Bo, Eghbalzadeh, Hamid
Sequential recommendation systems aim to provide personalized recommendations for users based on their interaction history. To achieve this, they often incorporate auxiliary information, such as textual descriptions of items and auxiliary tasks, like
Externí odkaz:
http://arxiv.org/abs/2412.08604
Autor:
Rodríguez, M. Jimena, Lee, Janice C., Indebetouw, Remy, Whitmore, B. C., Maschmann, Daniel, Williams, Thomas G., Chandar, Rupali, Barnes, A. T., Gnedin, Oleg Y., Sandstrom, Karin M., Rosolowsky, Erik, Sun, Jiayi, Klessen, Ralf S., Groves, Brent, Wofford, Aida, Boquien, Médéric, Dale, Daniel A., Leroy, Adam K., Thilker, David A., Kim, Hwihyun, Levy, Rebecca C., Sarbadhicary, Sumit K., Ubeda, Leonardo, Larson, Kirsten L., Johnson, Kelsey E., Bigiel, Frank, Hassani, Hamid, Grasha, Kathryn
The earliest stages of star and cluster formation are hidden within dense cocoons of gas and dust, limiting their detection at optical wavelengths. With the unprecedented infrared capabilities of JWST, we can now observe dust-enshrouded star formatio
Externí odkaz:
http://arxiv.org/abs/2412.07862
Autor:
Adalioglu, Ilke, Kiranyaz, Serkan, Ahishali, Mete, Degerli, Aysen, Hamid, Tahir, Ghaffar, Rahmat, Hamila, Ridha, Gabbouj, Moncef
Echocardiography is the most widely used imaging to monitor cardiac functions, serving as the first line in early detection of myocardial ischemia and infarction. However, echocardiography often suffers from several artifacts including sensor noise,
Externí odkaz:
http://arxiv.org/abs/2412.06445
Regarding the concepts of urban management, digital transformation, and smart cities, various issues are presented. Currently, we like to attend to location allocation problems that can be a new part of digital transformation in urban management (suc
Externí odkaz:
http://arxiv.org/abs/2412.06032
We present the design, modeling, and optimization of high-performance plasmonic electro-optic modulators leveraging voltage-gated carrier density in indium tin oxide (ITO) where the gated carrier density is modeled using both the Classical Drift-Diff
Externí odkaz:
http://arxiv.org/abs/2412.05690
Dependable visual drone detection is crucial for the secure integration of drones into the airspace. However, drone detection accuracy is significantly affected by domain shifts due to environmental changes, varied points of view, and background shif
Externí odkaz:
http://arxiv.org/abs/2412.04789
Autor:
Bai, Fan, Harrigian, Keith, Stremmel, Joel, Hassanzadeh, Hamid, Saeedi, Ardavan, Dredze, Mark
Clinical Question Answering (QA) systems enable doctors to quickly access patient information from electronic health records (EHRs). However, training these systems requires significant annotated data, which is limited due to the expertise needed and
Externí odkaz:
http://arxiv.org/abs/2412.04573
Distributed learning algorithms, such as the ones employed in Federated Learning (FL), require communication compression to reduce the cost of client uploads. The compression methods used in practice are often biased, which require error feedback to
Externí odkaz:
http://arxiv.org/abs/2412.04538