Zobrazeno 1 - 10
of 151 411
pro vyhledávání: '"Koo, A."'
In the world of relational database management, the query optimizer is a critical component that significantly impacts query performance. To address the challenge of optimizing query performance due to the complexity of optimizers -- especially with
Externí odkaz:
http://arxiv.org/abs/2411.14788
The stellar initial mass function (IMF) is a key parameter to understand the star formation process and the integrated properties of stellar populations in remote galaxies. We present a spectroscopic study of young massive clusters (YMCs) in the star
Externí odkaz:
http://arxiv.org/abs/2411.00521
Human image animation aims to generate a human motion video from the inputs of a reference human image and a target motion video. Current diffusion-based image animation systems exhibit high precision in transferring human identity into targeted moti
Externí odkaz:
http://arxiv.org/abs/2410.24037
Verifying the violation of Bell's inequality is one of the most representative methods to demonstrate that entangled photon pairs prepared in a quantum optics-based system exhibit quantum properties. While experiments on Bell inequality violations ha
Externí odkaz:
http://arxiv.org/abs/2410.23689
Federated fine-tuning for Large Language Models (LLMs) has recently gained attention due to the heavy communication overhead of transmitting large model updates. Low Rank Adaptation (LoRA) has been proposed as a solution, yet its application in feder
Externí odkaz:
http://arxiv.org/abs/2410.22815
Keyphrase ranking plays a crucial role in information retrieval and summarization by indexing and retrieving relevant information efficiently. Advances in natural language processing, especially large language models (LLMs), have improved keyphrase e
Externí odkaz:
http://arxiv.org/abs/2410.20080
Despite the success of Large Language Models (LLMs), they still face challenges related to high inference costs and memory requirements. To address these issues, Knowledge Distillation (KD) has emerged as a popular method for model compression, with
Externí odkaz:
http://arxiv.org/abs/2410.19503
Deep State Space Models (SSMs), such as Mamba (Gu & Dao, 2024), have emerged as powerful tools for language modeling, offering high performance with efficient inference and linear scaling in sequence length. However, the application of parameter-effi
Externí odkaz:
http://arxiv.org/abs/2410.09016
Autor:
Chae, Yunkee, Choi, Woosung, Takida, Yuhta, Koo, Junghyun, Ikemiya, Yukara, Zhong, Zhi, Cheuk, Kin Wai, Martínez-Ramírez, Marco A., Lee, Kyogu, Liao, Wei-Hsiang, Mitsufuji, Yuki
Recent state-of-the-art neural audio compression models have progressively adopted residual vector quantization (RVQ). Despite this success, these models employ a fixed number of codebooks per frame, which can be suboptimal in terms of rate-distortio
Externí odkaz:
http://arxiv.org/abs/2410.06016
Autor:
De Looze, Ilse, Milisavljevic, Dan, Temim, Tea, Dickinson, Danielle, Fesen, Robert, Arendt, Richard G., Chastenet, Jeremy, Orlando, Salvatore, Vink, Jacco, Barlow, Michael J., Kirchschlager, Florian, Priestley, Felix D., Raymond, John C., Rho, Jeonghee, Sartorio, Nina S., Scheffler, Tassilo, Schmidt, Franziska, Blair, William P., Fox, Ori, Fryer, Christopher, Janka, Hans-Thomas, Koo, Bon-Chul, Laming, J. Martin, Matsuura, Mikako, Patnaude, Dan, Relano, Monica, Rest, Armin, Schmidt, Judy, Smith, Nathan, Sravan, Niharika
JWST observations of the young Galactic supernova remnant Cassiopeia A revealed an unexpected structure seen as a green emission feature in colored composite MIRI F1130W and F1280W images - hence dubbed the Green Monster - that stretches across the c
Externí odkaz:
http://arxiv.org/abs/2410.05402