Zobrazeno 1 - 10
of 55 913
pro vyhledávání: '"Li, Yong"'
Physical Human-Scene Interaction (HSI) plays a crucial role in numerous applications. However, existing HSI techniques are limited to specific object dynamics and privileged information, which prevents the development of more comprehensive applicatio
Externí odkaz:
http://arxiv.org/abs/2406.19972
Autor:
Zhang, Yuheng, Ouyang, Tianjian, Yu, Fudan, Ma, Cong, Qiao, Lei, Wu, Wei, Yuan, Jian, Li, Yong
With the rapid development of urban transportation and the continuous advancement in autonomous vehicles, the demand for safely and efficiently testing autonomous driving and traffic optimization algorithms arises, which needs accurate modeling of la
Externí odkaz:
http://arxiv.org/abs/2406.19781
Autor:
Ding, Yi, Tong, Chengxuan, Zhang, Shuailei, Jiang, Muyun, Li, Yong, Liang, Kevin Lim Jun, Guan, Cuntai
Integrating prior knowledge of neurophysiology into neural network architecture enhances the performance of emotion decoding. While numerous techniques emphasize learning spatial and short-term temporal patterns, there has been limited emphasis on ca
Externí odkaz:
http://arxiv.org/abs/2406.18345
Enantiomer-specific state transfer (ESST), which involves transferring enantiomers with different handedness of a chiral molecule into different-energy internal states, is a challenging yet significant task. Previous ESST methods are based on dynamic
Externí odkaz:
http://arxiv.org/abs/2406.15978
Large language models(LLMs) with powerful language generation and reasoning capabilities have already achieved success in many domains, e.g., math and code generation. However, due to the lacking of physical world's corpus and knowledge during traini
Externí odkaz:
http://arxiv.org/abs/2406.13948
Autor:
Feng, Jie, Zhang, Jun, Yan, Junbo, Zhang, Xin, Ouyang, Tianjian, Liu, Tianhui, Du, Yuwei, Guo, Siqi, Li, Yong
Large language models (LLMs) with powerful generalization ability has been widely used in many domains. A systematic and reliable evaluation of LLMs is a crucial step in their development and applications, especially for specific professional fields.
Externí odkaz:
http://arxiv.org/abs/2406.13945
The Sustainable Development Goals (SDGs) aim to resolve societal challenges, such as eradicating poverty and improving the lives of vulnerable populations in impoverished areas. Those areas rely on road infrastructure construction to promote accessib
Externí odkaz:
http://arxiv.org/abs/2406.11282
With the development of artificial intelligence techniques, transportation system optimization is evolving from traditional methods relying on expert experience to simulation and learning-based decision optimization methods. Learning-based optimizati
Externí odkaz:
http://arxiv.org/abs/2406.10661
The advent of pre-trained large language models (LLMs) has revolutionized various natural language processing tasks. These models predominantly employ an auto-regressive decoding mechanism that utilizes Key-Value (KV) caches to eliminate redundant ca
Externí odkaz:
http://arxiv.org/abs/2406.07056
Though dataset distillation has witnessed rapid development in recent years, the distillation of multimodal data, e.g., image-text pairs, poses unique and under-explored challenges. Unlike unimodal data, image-text contrastive learning (ITC) data lac
Externí odkaz:
http://arxiv.org/abs/2406.03793