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pro vyhledávání: '"Wang,Ting"'
Unmanned Aerial Vehicles (UAVs) are increasingly utilized in wireless communication, yet accurate channel loss prediction remains a significant challenge, limiting resource optimization performance. To address this issue, this paper leverages Artific
Externí odkaz:
http://arxiv.org/abs/2412.00386
To mitigate the misuse of large language models (LLMs), such as disinformation, automated phishing, and academic cheating, there is a pressing need for the capability of identifying LLM-generated texts. Watermarking emerges as one promising solution:
Externí odkaz:
http://arxiv.org/abs/2411.13425
Autor:
Xu, Naen, Li, Changjiang, Du, Tianyu, Li, Minxi, Luo, Wenjie, Liang, Jiacheng, Li, Yuyuan, Zhang, Xuhong, Han, Meng, Yin, Jianwei, Wang, Ting
Text-to-image diffusion models have emerged as powerful tools for generating high-quality images from textual descriptions. However, their increasing popularity has raised significant copyright concerns, as these models can be misused to reproduce co
Externí odkaz:
http://arxiv.org/abs/2411.13144
Autor:
Gan, Yuyou, Yang, Yong, Ma, Zhe, He, Ping, Zeng, Rui, Wang, Yiming, Li, Qingming, Zhou, Chunyi, Li, Songze, Wang, Ting, Gao, Yunjun, Wu, Yingcai, Ji, Shouling
With the continuous development of large language models (LLMs), transformer-based models have made groundbreaking advances in numerous natural language processing (NLP) tasks, leading to the emergence of a series of agents that use LLMs as their con
Externí odkaz:
http://arxiv.org/abs/2411.09523
Autor:
NVIDIA, Atzmon, Yuval, Bala, Maciej, Balaji, Yogesh, Cai, Tiffany, Cui, Yin, Fan, Jiaojiao, Ge, Yunhao, Gururani, Siddharth, Huffman, Jacob, Isaac, Ronald, Jannaty, Pooya, Karras, Tero, Lam, Grace, Lewis, J. P., Licata, Aaron, Lin, Yen-Chen, Liu, Ming-Yu, Ma, Qianli, Mallya, Arun, Martino-Tarr, Ashlee, Mendez, Doug, Nah, Seungjun, Pruett, Chris, Reda, Fitsum, Song, Jiaming, Wang, Ting-Chun, Wei, Fangyin, Zeng, Xiaohui, Zeng, Yu, Zhang, Qinsheng
We introduce Edify Image, a family of diffusion models capable of generating photorealistic image content with pixel-perfect accuracy. Edify Image utilizes cascaded pixel-space diffusion models trained using a novel Laplacian diffusion process, in wh
Externí odkaz:
http://arxiv.org/abs/2411.07126
An accurate description of the photon spectrum line shape is essential for extracting resonance parameters of the $\eta_c$ meson through the radiative transition $J/\psi \to \gamma \eta_{c}$. However, a persistent challenge remains in the form of a d
Externí odkaz:
http://arxiv.org/abs/2411.01984
Jailbreak attacks circumvent LLMs' built-in safeguards by concealing harmful queries within jailbreak prompts. While existing defenses primarily focus on mitigating the effects of jailbreak prompts, they often prove inadequate as jailbreak prompts ca
Externí odkaz:
http://arxiv.org/abs/2410.19937
Simultaneous state estimation and mapping is an essential capability for mobile robots working in dynamic urban environment. The majority of existing SLAM solutions heavily rely on a primarily static assumption. However, due to the presence of moving
Externí odkaz:
http://arxiv.org/abs/2410.13240
Parameter Efficient Fine-Tuning (PEFT) offers an efficient solution for fine-tuning large pretrained language models for downstream tasks. However, most PEFT strategies are manually designed, often resulting in suboptimal performance. Recent automati
Externí odkaz:
http://arxiv.org/abs/2410.09079
We investigate operator dynamics and entanglement growth in dual-unitary circuits, a class of locally scrambled quantum systems that enables efficient simulation beyond the exponential complexity of the Hilbert space. By mapping the operator evolutio
Externí odkaz:
http://arxiv.org/abs/2410.00953