Zobrazeno 1 - 10
of 12 621
pro vyhledávání: '"Ma, Jie"'
Autor:
Martinien, Laurine, Ménard, François, Duchêne, Gaspard, Tazaki, Ryo, Perrin, Marshall D., Stapelfeldt, Karl R., Pinte, Christophe, Wolff, Schuyler G., Grady, Carol, Dominik, Carsten, Roumesy, Maxime, Ma, Jie, Ginski, Christian, Hines, Dean C., Schneider, Glenn
PDS 453 is a rare highly inclined disk where the stellar photosphere is seen at grazing incidence on the disk surface. Our goal is take advantage of this geometry to constrain the structure and composition of this disk, in particular the fact that it
Externí odkaz:
http://arxiv.org/abs/2411.04741
Recent advancements in diffusion models have significantly improved performance in super-resolution (SR) tasks. However, previous research often overlooks the fundamental differences between SR and general image generation. General image generation i
Externí odkaz:
http://arxiv.org/abs/2410.22830
Medical image segmentation is a pivotal step in diagnostic and therapeutic processes, relying on high-quality annotated data that is often challenging and costly to obtain. Semi-supervised learning offers a promising approach to enhance model perform
Externí odkaz:
http://arxiv.org/abs/2410.12419
Autor:
Liu, Qin, Shang, Chao, Liu, Ling, Pappas, Nikolaos, Ma, Jie, John, Neha Anna, Doss, Srikanth, Marquez, Lluis, Ballesteros, Miguel, Benajiba, Yassine
The safety alignment ability of Vision-Language Models (VLMs) is prone to be degraded by the integration of the vision module compared to its LLM backbone. We investigate this phenomenon, dubbed as ''safety alignment degradation'' in this paper, and
Externí odkaz:
http://arxiv.org/abs/2410.09047
Autor:
Kim, Gyuwan, Li, Yang, Spiliopoulou, Evangelia, Ma, Jie, Ballesteros, Miguel, Wang, William Yang
The widespread deployment of large language models (LLMs) has led to impressive advancements, yet information about their training data, a critical factor in their performance, remains undisclosed. Membership inference attacks (MIAs) aim to determine
Externí odkaz:
http://arxiv.org/abs/2410.07582
As large language models (LLMs) become increasingly versatile, numerous large scale benchmarks have been developed to thoroughly assess their capabilities. These benchmarks typically consist of diverse datasets and prompts to evaluate different aspec
Externí odkaz:
http://arxiv.org/abs/2410.05952
Autor:
Lin, Gaoting, Shu, Mingfang, Zhao, Qirong, Li, Gang, Ma, Yinina, Jiao, Jinlong, Li, Yuting, Duan, Guijing, Huang, Qing, Sheng, Jieming, Kolesnikov, Alexander I., Li, Lu, Wu, Liusuo, Chen, Hongwei, Yu, Rong, Wang, Xiaoqun, Liu, Zhengxin, Zhou, Haidong, Ma, Jie
One of the most important issues in modern condensed matter physics is the realization of fractionalized excitations, such as the Majorana excitations in the Kitaev quantum spin liquid. To this aim, the 3d-based Kitaev material Na2Co2TeO6 is a promis
Externí odkaz:
http://arxiv.org/abs/2409.07959
Autor:
Ma, Jie
Piga, Sanhueza-Matamala, and Schacht recently established that the codegree Tur\'an density of 3-uniform tight cycles $C_\ell$ is $1/3$ for $\ell\in \{10, 13, 16\}$ and for all $\ell\geq 19$. In this note, we extend their proof to determine the codeg
Externí odkaz:
http://arxiv.org/abs/2409.02765
Autor:
Ma, Jie, Gao, Zhitao, Chai, Qi, Sun, Wangchun, Wang, Pinghui, Pei, Hongbin, Tao, Jing, Song, Lingyun, Liu, Jun, Zhang, Chen, Cui, Lizhen
Large Language Models (LLMs) may suffer from hallucinations in real-world applications due to the lack of relevant knowledge. In contrast, knowledge graphs encompass extensive, multi-relational structures that store a vast array of symbolic facts. Co
Externí odkaz:
http://arxiv.org/abs/2409.03155
An $r$-uniform hypergraph is uniquely $k$-colorable if there exists exactly one partition of its vertex set into $k$ parts such that every edge contains at most one vertex from each part. For integers $k \ge r \ge 2$, let $\Phi_{k,r}$ denote the mini
Externí odkaz:
http://arxiv.org/abs/2409.01654