Zobrazeno 1 - 10
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pro vyhledávání: '"Lu, Pan"'
Autor:
Jiang, Dongzhi, Zhang, Renrui, Guo, Ziyu, Wu, Yanmin, Lei, Jiayi, Qiu, Pengshuo, Lu, Pan, Chen, Zehui, Song, Guanglu, Gao, Peng, Liu, Yu, Li, Chunyuan, Li, Hongsheng
The advent of Large Language Models (LLMs) has paved the way for AI search engines, e.g., SearchGPT, showcasing a new paradigm in human-internet interaction. However, most current AI search engines are limited to text-only settings, neglecting the mu
Externí odkaz:
http://arxiv.org/abs/2409.12959
Visual programs are executable code generated by large language models to address visual reasoning problems. They decompose complex questions into multiple reasoning steps and invoke specialized models for each step to solve the problems. However, th
Externí odkaz:
http://arxiv.org/abs/2406.13444
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
Large vision language models (LVLMs) integrate large language models (LLMs) with pre-trained vision encoders, thereby activating the perception capability of the model to understand image inputs for different queries and conduct subsequent reasoning.
Externí odkaz:
http://arxiv.org/abs/2405.19716
Autor:
Zhang, Renrui, Jiang, Dongzhi, Zhang, Yichi, Lin, Haokun, Guo, Ziyu, Qiu, Pengshuo, Zhou, Aojun, Lu, Pan, Chang, Kai-Wei, Gao, Peng, Li, Hongsheng
The remarkable progress of Multi-modal Large Language Models (MLLMs) has garnered unparalleled attention, due to their superior performance in visual contexts. However, their capabilities in visual math problem-solving remain insufficiently evaluated
Externí odkaz:
http://arxiv.org/abs/2403.14624
Quantitative reasoning is a critical skill to analyze data, yet the assessment of such ability remains limited. To address this gap, we introduce the Quantitative Reasoning with Data (QRData) benchmark, aiming to evaluate Large Language Models' capab
Externí odkaz:
http://arxiv.org/abs/2402.17644
Autor:
Liu, Dongyang, Zhang, Renrui, Qiu, Longtian, Huang, Siyuan, Lin, Weifeng, Zhao, Shitian, Geng, Shijie, Lin, Ziyi, Jin, Peng, Zhang, Kaipeng, Shao, Wenqi, Xu, Chao, He, Conghui, He, Junjun, Shao, Hao, Lu, Pan, Li, Hongsheng, Qiao, Yu, Gao, Peng
We propose SPHINX-X, an extensive Multimodality Large Language Model (MLLM) series developed upon SPHINX. To improve the architecture and training efficiency, we modify the SPHINX framework by removing redundant visual encoders, bypassing fully-padde
Externí odkaz:
http://arxiv.org/abs/2402.05935
Autor:
Gu, Jia-Chen, Xu, Hao-Xiang, Ma, Jun-Yu, Lu, Pan, Ling, Zhen-Hua, Chang, Kai-Wei, Peng, Nanyun
Model editing is a technique that edits the large language models (LLMs) with updated knowledge to alleviate hallucinations without resource-intensive retraining. While current model editing methods can effectively modify a model's behavior within a
Externí odkaz:
http://arxiv.org/abs/2401.04700
Autor:
Lu, Pan, Bansal, Hritik, Xia, Tony, Liu, Jiacheng, Li, Chunyuan, Hajishirzi, Hannaneh, Cheng, Hao, Chang, Kai-Wei, Galley, Michel, Gao, Jianfeng
Large Language Models (LLMs) and Large Multimodal Models (LMMs) exhibit impressive problem-solving skills in many tasks and domains, but their ability in mathematical reasoning in visual contexts has not been systematically studied. To bridge this ga
Externí odkaz:
http://arxiv.org/abs/2310.02255
Autor:
Zhen-Ye Zhang, Lu Pan, Shipeng Dang, Ning Wang, Shan-Ying Zhao, Feng Li, Li-Da Wu, Lei Zhang, Huan-Huan Liu, Ning Zhao, Ya-Juan Yang, Ling-Ling Qian, Tong Liu, Ru-Xing Wang
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Glucose fluctuations may be involved in the pathophysiological process of cardiomyocyte apoptosis, but the exact mechanism remains elusive. This study focused on exploring the mechanisms related to glucose fluctuation-induced card
Externí odkaz:
https://doaj.org/article/38fdef2b45434bff830643be084b041c