Zobrazeno 1 - 10
of 15 283
pro vyhledávání: '"An, Changjiang"'
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
Let $G$ be a connected graph and let $F$ be a connected subgraph of $G$ with a given structure. We consider that the centrality of a vertex $i$ of $G$ is determined by the centrality of other vertices in all subgraphs contain $i$ and isomorphic to $F
Externí odkaz:
http://arxiv.org/abs/2411.12409
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
Autor:
Cheng, Erjian, Mao, Ning, Yang, Xiaotian, Song, Boqing, Lou, Rui, Ying, Tianping, Nie, Simin, Fedorov, Alexander, Bertran, François, Ding, Pengfei, Suvorov, Oleksandr, Zhang, Shu, Changdar, Susmita, Schnelle, Walter, Koban, Ralf, Yi, Changjiang, Burkhardt, Ulrich, Büchner, Bernd, Wang, Shancai, Zhang, Yang, Wang, Wenbo, Felser, Claudia
Kagome materials with magnetic frustration in two-dimensional networks are known for their exotic properties, such as the anomalous Hall effect (AHE) with non-collinear spin textures. However, the effects of one-dimensional (1D) spin chains within th
Externí odkaz:
http://arxiv.org/abs/2409.01365
Stance detection is an active task in natural language processing (NLP) that aims to identify the author's stance towards a particular target within a text. Given the remarkable language understanding capabilities and encyclopedic prior knowledge of
Externí odkaz:
http://arxiv.org/abs/2408.04649
Autor:
Hu, Peng, Liu, Sizhe, Gao, Changjiang, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Huang, Shujian
Large Language Models have demonstrated impressive reasoning capabilities across multiple languages. However, the relationship between capabilities in different languages is less explored. In this work, we decompose the process of reasoning tasks int
Externí odkaz:
http://arxiv.org/abs/2406.16655
Autor:
Li, Changjiang, Pang, Ren, Cao, Bochuan, Chen, Jinghui, Ma, Fenglong, Ji, Shouling, Wang, Ting
Thanks to their remarkable denoising capabilities, diffusion models are increasingly being employed as defensive tools to reinforce the security of other models, notably in purifying adversarial examples and certifying adversarial robustness. However
Externí odkaz:
http://arxiv.org/abs/2406.09669
Large Language Models (LLMs) possess extensive knowledge and strong capabilities in performing in-context reasoning. However, previous work challenges their out-of-context reasoning ability, i.e., the ability to infer information from their training
Externí odkaz:
http://arxiv.org/abs/2406.07393
Autor:
Zhang, Shimao, Gao, Changjiang, Zhu, Wenhao, Chen, Jiajun, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Huang, Shujian
Recently, Large Language Models (LLMs) have shown impressive language capabilities. While most of the existing LLMs have very unbalanced performance across different languages, multilingual alignment based on translation parallel data is an effective
Externí odkaz:
http://arxiv.org/abs/2405.13816
Autor:
Chen, Jiahao, Shen, Zhiqiang, Pu, Yuwen, Zhou, Chunyi, Li, Changjiang, Li, Jiliang, Wang, Ting, Ji, Shouling
Face Recognition Systems (FRS) have increasingly integrated into critical applications, including surveillance and user authentication, highlighting their pivotal role in modern security systems. Recent studies have revealed vulnerabilities in FRS to
Externí odkaz:
http://arxiv.org/abs/2405.12786