Zobrazeno 1 - 10
of 184 032
pro vyhledávání: '"Has, Yusuf"'
Autor:
Yusuf, Imam Nur Bani, Jiang, Lingxiao
Large language models have demonstrated promising performance across various software engineering tasks. While fine-tuning is a common practice to adapt these models for downstream tasks, it becomes challenging in resource-constrained environments du
Externí odkaz:
http://arxiv.org/abs/2412.13467
We investigate the effects of postselected von Neumann measurements on the nonclassical properties of pair coherent states (PCS). We calculated key quantum characteristics, such as squeezing, photon statistics, and entanglement between the two PCS mo
Externí odkaz:
http://arxiv.org/abs/2412.12824
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models
In this paper, we investigate the role of attention heads in Context-aware Machine Translation models for pronoun disambiguation in the English-to-German and English-to-French language directions. We analyze their influence by both observing and modi
Externí odkaz:
http://arxiv.org/abs/2412.11187
We introduce a novel approach to enhance the capabilities of text-to-image models by incorporating a graph-based RAG. Our system dynamically retrieves detailed character information and relational data from the knowledge graph, enabling the generatio
Externí odkaz:
http://arxiv.org/abs/2412.09614
Rectified flow models have emerged as a dominant approach in image generation, showcasing impressive capabilities in high-quality image synthesis. However, despite their effectiveness in visual generation, rectified flow models often struggle with di
Externí odkaz:
http://arxiv.org/abs/2412.09611
Autor:
Dalva, Yusuf, Li, Yijun, Liu, Qing, Zhao, Nanxuan, Zhang, Jianming, Lin, Zhe, Yanardag, Pinar
Large-scale diffusion models have achieved remarkable success in generating high-quality images from textual descriptions, gaining popularity across various applications. However, the generation of layered content, such as transparent images with for
Externí odkaz:
http://arxiv.org/abs/2412.04460
Considerable study has already been conducted regarding autonomous driving in modern era. An autonomous driving system must be extremely good at detecting objects surrounding the car to ensure safety. In this paper, classification, and estimation of
Externí odkaz:
http://arxiv.org/abs/2412.03490
Autor:
Kesgin, H. Toprak, Yuce, M. Kaan, Dogan, Eren, Uzun, M. Egemen, Uz, Atahan, Ince, Elif, Erdem, Yusuf, Shbib, Osama, Zeer, Ahmed, Amasyali, M. Fatih
Publikováno v:
2024 Innovations in Intelligent Systems and Applications Conference (ASYU) published in IEEE Xplore
In this study, we develop and assess new corpus selection and training methodologies to improve the effectiveness of Turkish language models. Specifically, we adapted Large Language Model generated datasets and translated English datasets into Turkis
Externí odkaz:
http://arxiv.org/abs/2412.02775
Autor:
Zeer, Ahmed, Dogan, Eren, Erdem, Yusuf, Ince, Elif, Shbib, Osama, Uzun, M. Egemen, Uz, Atahan, Yuce, M. Kaan, Kesgin, H. Toprak, Amasyali, M. Fatih
In this study, a Turkish visual instruction model was developed and various model architectures and dataset combinations were analysed to improve the performance of this model. The Cosmos-LLaVA model, which is built by combining different large langu
Externí odkaz:
http://arxiv.org/abs/2412.02760
Autor:
Geng, Daniel, Herrmann, Charles, Hur, Junhwa, Cole, Forrester, Zhang, Serena, Pfaff, Tobias, Lopez-Guevara, Tatiana, Doersch, Carl, Aytar, Yusuf, Rubinstein, Michael, Sun, Chen, Wang, Oliver, Owens, Andrew, Sun, Deqing
Motion control is crucial for generating expressive and compelling video content; however, most existing video generation models rely mainly on text prompts for control, which struggle to capture the nuances of dynamic actions and temporal compositio
Externí odkaz:
http://arxiv.org/abs/2412.02700