Zobrazeno 1 - 10
of 6 746
pro vyhledávání: '"Zhang YiMing"'
Current Visual Language Models (VLMs) show impressive image understanding but struggle with visual illusions, especially in real-world scenarios. Existing benchmarks focus on classical cognitive illusions, which have been learned by state-of-the-art
Externí odkaz:
http://arxiv.org/abs/2501.00848
Autor:
Gao, Dongxin, Fan, Daojin, Zha, Chen, Bei, Jiahao, Cai, Guoqing, Cai, Jianbin, Cao, Sirui, Zeng, Xiangdong, Chen, Fusheng, Chen, Jiang, Chen, Kefu, Chen, Xiawei, Chen, Xiqing, Chen, Zhe, Chen, Zhiyuan, Chen, Zihua, Chu, Wenhao, Deng, Hui, Deng, Zhibin, Ding, Pei, Ding, Xun, Ding, Zhuzhengqi, Dong, Shuai, Dong, Yupeng, Fan, Bo, Fu, Yuanhao, Gao, Song, Ge, Lei, Gong, Ming, Gui, Jiacheng, Guo, Cheng, Guo, Shaojun, Guo, Xiaoyang, He, Tan, Hong, Linyin, Hu, Yisen, Huang, He-Liang, Huo, Yong-Heng, Jiang, Tao, Jiang, Zuokai, Jin, Honghong, Leng, Yunxiang, Li, Dayu, Li, Dongdong, Li, Fangyu, Li, Jiaqi, Li, Jinjin, Li, Junyan, Li, Junyun, Li, Na, Li, Shaowei, Li, Wei, Li, Yuhuai, Li, Yuan, Liang, Futian, Liang, Xuelian, Liao, Nanxing, Lin, Jin, Lin, Weiping, Liu, Dailin, Liu, Hongxiu, Liu, Maliang, Liu, Xinyu, Liu, Xuemeng, Liu, Yancheng, Lou, Haoxin, Ma, Yuwei, Meng, Lingxin, Mou, Hao, Nan, Kailiang, Nie, Binghan, Nie, Meijuan, Ning, Jie, Niu, Le, Peng, Wenyi, Qian, Haoran, Rong, Hao, Rong, Tao, Shen, Huiyan, Shen, Qiong, Su, Hong, Su, Feifan, Sun, Chenyin, Sun, Liangchao, Sun, Tianzuo, Sun, Yingxiu, Tan, Yimeng, Tan, Jun, Tang, Longyue, Tu, Wenbing, Wan, Cai, Wang, Jiafei, Wang, Biao, Wang, Chang, Wang, Chen, Wang, Chu, Wang, Jian, Wang, Liangyuan, Wang, Rui, Wang, Shengtao, Wang, Xinzhe, Wei, Zuolin, Wei, Jiazhou, Wu, Dachao, Wu, Gang, Wu, Jin, Wu, Shengjie, Wu, Yulin, Xie, Shiyong, Xin, Lianjie, Xu, Yu, Xue, Chun, Yan, Kai, Yang, Weifeng, Yang, Xinpeng, Yang, Yang, Ye, Yangsen, Ye, Zhenping, Ying, Chong, Yu, Jiale, Yu, Qinjing, Yu, Wenhu, Zhan, Shaoyu, Zhang, Feifei, Zhang, Haibin, Zhang, Kaili, Zhang, Pan, Zhang, Wen, Zhang, Yiming, Zhang, Yongzhuo, Zhang, Lixiang, Zhao, Guming, Zhao, Peng, Zhao, Xianhe, Zhao, Xintao, Zhao, Youwei, Zhao, Zhong, Zheng, Luyuan, Zhou, Fei, Zhou, Liang, Zhou, Na, Zhou, Naibin, Zhou, Shifeng, Zhou, Shuang, Zhou, Zhengxiao, Zhu, Chengjun, Zhu, Qingling, Zou, Guihong, Zou, Haonan, Zhang, Qiang, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, XiaoBo, Pan, Jian-Wei
In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, w
Externí odkaz:
http://arxiv.org/abs/2412.11924
Recent advancements in multimodal large language models (MLLMs) have opened new avenues for video understanding. However, achieving high fidelity in zero-shot video tasks remains challenging. Traditional video processing methods rely heavily on fine-
Externí odkaz:
http://arxiv.org/abs/2411.14401
Accurate prediction of turbine blade fatigue life is essential for ensuring the safety and reliability of aircraft engines. A significant challenge in this domain is uncovering the intrinsic relationship between mechanical properties and fatigue life
Externí odkaz:
http://arxiv.org/abs/2412.03580
Autor:
Chi, Jianfeng, Karn, Ujjwal, Zhan, Hongyuan, Smith, Eric, Rando, Javier, Zhang, Yiming, Plawiak, Kate, Coudert, Zacharie Delpierre, Upasani, Kartikeya, Pasupuleti, Mahesh
We introduce Llama Guard 3 Vision, a multimodal LLM-based safeguard for human-AI conversations that involves image understanding: it can be used to safeguard content for both multimodal LLM inputs (prompt classification) and outputs (response classif
Externí odkaz:
http://arxiv.org/abs/2411.10414
Autor:
Huang, Chao, Xiao, Huichen, Chen, Chen, Chen, Chunyan, Zhao, Yi, Du, Shiyu, Zhang, Yiming, Sha, He, Gu, Ruixin
As the application of large language models in various fields continues to expand, materials science also ushers in opportunities for AI-driven innovation. The traditional way of relying on manual search for materials science-related information is n
Externí odkaz:
http://arxiv.org/abs/2411.08728
Autor:
Zhao, Yilun, Long, Yitao, Jiang, Yuru, Wang, Chengye, Chen, Weiyuan, Liu, Hongjun, Zhang, Yiming, Tang, Xiangru, Zhao, Chen, Cohan, Arman
We introduce FinDVer, a comprehensive benchmark specifically designed to evaluate the explainable claim verification capabilities of LLMs in the context of understanding and analyzing long, hybrid-content financial documents. FinDVer contains 2,400 e
Externí odkaz:
http://arxiv.org/abs/2411.05764
Autor:
Chuang, Alexander Y., Bui, Huan Q., Christianen, Arthur, Zhang, Yiming, Ni, Yiqi, Ahmed-Braun, Denise, Robens, Carsten, Zwierlein, Martin W.
The quantum mechanics of three interacting particles gives rise to interesting universal phenomena, such as the staircase of Efimov trimers predicted in the context of nuclear physics and observed in ultracold gases. Here, we observe a novel type of
Externí odkaz:
http://arxiv.org/abs/2411.04820
Autor:
Zhang, Yiming, Rando, Javier, Evtimov, Ivan, Chi, Jianfeng, Smith, Eric Michael, Carlini, Nicholas, Tramèr, Florian, Ippolito, Daphne
Large language models are pre-trained on uncurated text datasets consisting of trillions of tokens scraped from the Web. Prior work has shown that: (1) web-scraped pre-training datasets can be practically poisoned by malicious actors; and (2) adversa
Externí odkaz:
http://arxiv.org/abs/2410.13722
Autor:
Zhang, Yiming, He, Baoyi, Zhang, Shengyu, Fu, Yuhao, Zhou, Qi, Sang, Zhijie, Hong, Zijin, Yang, Kejing, Wang, Wenjun, Yuan, Jianbo, Ning, Guanghan, Li, Linyi, Ji, Chunlin, Wu, Fei, Yang, Hongxia
Recent advancements in building domain-specific large language models (LLMs) have shown remarkable success, especially in tasks requiring reasoning abilities like logical inference over complex relationships and multi-step problem solving. However, c
Externí odkaz:
http://arxiv.org/abs/2410.13699