Zobrazeno 1 - 10
of 777
pro vyhledávání: '"Li, Zekun"'
Autor:
Chen, Canyu, Huang, Baixiang, Li, Zekun, Chen, Zhaorun, Lai, Shiyang, Xu, Xiongxiao, Gu, Jia-Chen, Gu, Jindong, Yao, Huaxiu, Xiao, Chaowei, Yan, Xifeng, Wang, William Yang, Torr, Philip, Song, Dawn, Shu, Kai
Knowledge editing has been increasingly adopted to correct the false or outdated knowledge in Large Language Models (LLMs). Meanwhile, one critical but under-explored question is: can knowledge editing be used to inject harm into LLMs? In this paper,
Externí odkaz:
http://arxiv.org/abs/2407.20224
Threshold cryptography is essential for many blockchain protocols. For example, many protocols rely on threshold common coin to implement asynchronous consensus, leader elections, and provide support for randomized applications. Similarly, threshold
Externí odkaz:
http://arxiv.org/abs/2407.12172
Autor:
Li, Zekun, Yang, Xianjun, Choi, Kyuri, Zhu, Wanrong, Hsieh, Ryan, Kim, HyeonJung, Lim, Jin Hyuk, Ji, Sungyoung, Lee, Byungju, Yan, Xifeng, Petzold, Linda Ruth, Wilson, Stephen D., Lim, Woosang, Wang, William Yang
The rapid advancement of Large Language Models (LLMs) and Large Multimodal Models (LMMs) has heightened the demand for AI-based scientific assistants capable of understanding scientific articles and figures. Despite progress, there remains a signific
Externí odkaz:
http://arxiv.org/abs/2407.04903
Autor:
Wang, Fei, Fu, Xingyu, Huang, James Y., Li, Zekun, Liu, Qin, Liu, Xiaogeng, Ma, Mingyu Derek, Xu, Nan, Zhou, Wenxuan, Zhang, Kai, Yan, Tianyi Lorena, Mo, Wenjie Jacky, Liu, Hsiang-Hui, Lu, Pan, Li, Chunyuan, Xiao, Chaowei, Chang, Kai-Wei, Roth, Dan, Zhang, Sheng, Poon, Hoifung, Chen, Muhao
We introduce MuirBench, a comprehensive benchmark that focuses on robust multi-image understanding capabilities of multimodal LLMs. MuirBench consists of 12 diverse multi-image tasks (e.g., scene understanding, ordering) that involve 10 categories of
Externí odkaz:
http://arxiv.org/abs/2406.09411
Autor:
Liu, Xuannan, Li, Zekun, Li, Peipei, Xia, Shuhan, Cui, Xing, Huang, Linzhi, Huang, Huaibo, Deng, Weihong, He, Zhaofeng
Current multimodal misinformation detection (MMD) methods often assume a single source and type of forgery for each sample, which is insufficient for real-world scenarios where multiple forgery sources coexist. The lack of a benchmark for mixed-sourc
Externí odkaz:
http://arxiv.org/abs/2406.08772
Flexible and accurate drag-based editing is a challenging task that has recently garnered significant attention. Current methods typically model this problem as automatically learning ``how to drag'' through point dragging and often produce one deter
Externí odkaz:
http://arxiv.org/abs/2406.00432
Today's practical partially synchronous Byzantine Fault Tolerant (BFT) consensus protocols trade off low latency and high throughput. On the one end, traditional BFT protocols such as PBFT and its derivatives optimize for latency. They require, in fa
Externí odkaz:
http://arxiv.org/abs/2405.20488
Autor:
Mitenkov, George, Kabiljo, Igor, Li, Zekun, Spiegelman, Alexander, Vusirikala, Satyanarayana, Xiang, Zhuolun, Zlateski, Aleksandar, Lopes, Nuno P., Gelashvili, Rati
One of the main bottlenecks of blockchains is smart contract execution. To increase throughput, modern blockchains try to execute transactions in parallel. Unfortunately, however, common blockchain use cases introduce read-write conflicts between tra
Externí odkaz:
http://arxiv.org/abs/2405.06117
SPECT can enable the quantification of activity uptake in lesions and at-risk organs in {\alpha}-particle-emitting radiopharmaceutical therapies ({\alpha}-RPTs). But this quantification is challenged by the low photon counts, complicated isotope phys
Externí odkaz:
http://arxiv.org/abs/2403.17226
Autor:
Liu, Xuannan, Li, Peipei, Huang, Huaibo, Li, Zekun, Cui, Xing, Liang, Jiahao, Qin, Lixiong, Deng, Weihong, He, Zhaofeng
The massive generation of multimodal fake news involving both text and images exhibits substantial distribution discrepancies, prompting the need for generalized detectors. However, the insulated nature of training restricts the capability of classic
Externí odkaz:
http://arxiv.org/abs/2403.01988