Zobrazeno 1 - 10
of 47 742
pro vyhledávání: '"Dou, P."'
Autor:
Chen, Zhe, Wang, Weiyun, Cao, Yue, Liu, Yangzhou, Gao, Zhangwei, Cui, Erfei, Zhu, Jinguo, Ye, Shenglong, Tian, Hao, Liu, Zhaoyang, Gu, Lixin, Wang, Xuehui, Li, Qingyun, Ren, Yimin, Chen, Zixuan, Luo, Jiapeng, Wang, Jiahao, Jiang, Tan, Wang, Bo, He, Conghui, Shi, Botian, Zhang, Xingcheng, Lv, Han, Wang, Yi, Shao, Wenqi, Chu, Pei, Tu, Zhongying, He, Tong, Wu, Zhiyong, Deng, Huipeng, Ge, Jiaye, Chen, Kai, Dou, Min, Lu, Lewei, Zhu, Xizhou, Lu, Tong, Lin, Dahua, Qiao, Yu, Dai, Jifeng, Wang, Wenhai
We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series that builds upon InternVL 2.0, maintaining its core model architecture while introducing significant enhancements in training and testing strategies as well as data
Externí odkaz:
http://arxiv.org/abs/2412.05271
Autor:
Feng, Xiachong, Dou, Longxu, Li, Ella, Wang, Qinghao, Wang, Haochuan, Guo, Yu, Ma, Chang, Kong, Lingpeng
Game-theoretic scenarios have become pivotal in evaluating the social intelligence of Large Language Model (LLM)-based social agents. While numerous studies have explored these agents in such settings, there is a lack of a comprehensive survey summar
Externí odkaz:
http://arxiv.org/abs/2412.03920
Autor:
Lu, Jiahao, Huang, Tianyu, Li, Peng, Dou, Zhiyang, Lin, Cheng, Cui, Zhiming, Dong, Zhen, Yeung, Sai-Kit, Wang, Wenping, Liu, Yuan
Recent developments in monocular depth estimation methods enable high-quality depth estimation of single-view images but fail to estimate consistent video depth across different frames. Recent works address this problem by applying a video diffusion
Externí odkaz:
http://arxiv.org/abs/2412.03079
Autonomous driving systems struggle with complex scenarios due to limited access to diverse, extensive, and out-of-distribution driving data which are critical for safe navigation. World models offer a promising solution to this challenge; however, c
Externí odkaz:
http://arxiv.org/abs/2412.01522
Machine learning offers a promising methodology to tackle complex challenges in quantum physics. In the realm of quantum batteries (QBs), model construction and performance optimization are central tasks. Here, we propose a cavity-Heisenberg spin cha
Externí odkaz:
http://arxiv.org/abs/2412.01442
In this paper, we introduce SailCompass, a reproducible and robust evaluation benchmark for assessing Large Language Models (LLMs) on Southeast Asian Languages (SEA). SailCompass encompasses three main SEA languages, eight primary tasks including 14
Externí odkaz:
http://arxiv.org/abs/2412.01186
Autor:
Wang, Wenjia, Pan, Liang, Dou, Zhiyang, Liao, Zhouyingcheng, Lou, Yuke, Yang, Lei, Wang, Jingbo, Komura, Taku
Simulating long-term human-scene interaction is a challenging yet fascinating task. Previous works have not effectively addressed the generation of long-term human scene interactions with detailed narratives for physics-based animation. This paper in
Externí odkaz:
http://arxiv.org/abs/2411.19921
Autor:
Dou, Jinfeng, Götte, Thorsten, Hillebrandt, Henning, Scheideler, Christian, Werthmann, Julian
We consider the distributed and parallel construction of low-diameter decompositions with strong diameter for (weighted) graphs and (weighted) graphs that can be separated through $k \in \tilde{O}(1)$ shortest paths. This class of graphs includes pla
Externí odkaz:
http://arxiv.org/abs/2411.19859
For a family of graphs $\cal F$, a graph $G$ is $\cal F$-free if it does not contain a member of $\cal F$ as a subgraph. The Tur\'an number $\textrm{ex}(n,{\cal F})$ is the maximum number of edges in an $n$-vertex graph which is $\cal F$-free. Let ${
Externí odkaz:
http://arxiv.org/abs/2411.17322
Autor:
Feng, Yuming, Dou, Zhiyang, Chen, Ling-Hao, Liu, Yuan, Li, Tianyu, Wang, Jingbo, Cao, Zeyu, Wang, Wenping, Komura, Taku, Liu, Lingjie
Modeling temporal characteristics and the non-stationary dynamics of body movement plays a significant role in predicting human future motions. However, it is challenging to capture these features due to the subtle transitions involved in the complex
Externí odkaz:
http://arxiv.org/abs/2411.16964