Zobrazeno 1 - 10
of 73 148
pro vyhledávání: '"Li,Yu"'
Understanding the extent of urban flooding is crucial for assessing building damage, casualties and economic losses. Synthetic Aperture Radar (SAR) technology offers significant advantages for mapping flooded urban areas due to its ability to collect
Externí odkaz:
http://arxiv.org/abs/2411.04153
Neutrinos are neutral in the Standard Model, but they have tiny charge radii generated by radiative corrections. In theories Beyond the Standard Model, neutrinos can also have magnetic and electric moments and small electric charges (millicharges). W
Externí odkaz:
http://arxiv.org/abs/2411.03122
Autor:
Li, Yu, Zhang, Wenjia
In this paper, we prove the uniqueness of K\"ahler Ricci shrinkers on toric orbifolds, extending the corresponding results previously established for toric manifolds.
Externí odkaz:
http://arxiv.org/abs/2410.21950
Continual learning requires to overcome catastrophic forgetting when training a single model on a sequence of tasks. Recent top-performing approaches are prompt-based methods that utilize a set of learnable parameters (i.e., prompts) to encode task k
Externí odkaz:
http://arxiv.org/abs/2410.20444
The improvement in translating natural language to structured query language (SQL) can be attributed to the advancements in large language models (LLMs). Open-source LLMs, tailored for specific database dialects such as MySQL, have shown great perfor
Externí odkaz:
http://arxiv.org/abs/2410.18406
With the extensive deployment of Large Language Models (LLMs), ensuring their safety has become increasingly critical. However, existing defense methods often struggle with two key issues: (i) inadequate defense capabilities, particularly in domain-s
Externí odkaz:
http://arxiv.org/abs/2410.17922
Antibodies are proteins produced by the immune system that recognize and bind to specific antigens, and their 3D structures are crucial for understanding their binding mechanism and designing therapeutic interventions. The specificity of antibody-ant
Externí odkaz:
http://arxiv.org/abs/2410.16673
The increasing integration of large language models (LLMs) across various fields has heightened concerns about their potential to propagate dangerous information. This paper specifically explores the security vulnerabilities of LLMs within the field
Externí odkaz:
http://arxiv.org/abs/2410.15641
Generating emotionally appropriate responses in conversations with large language models presents a significant challenge due to the complexities of human emotions and cognitive processes, which remain largely underexplored in their critical role in
Externí odkaz:
http://arxiv.org/abs/2410.14145
The development of large language models (LLMs) has significantly enhanced the capabilities of multimodal LLMs (MLLMs) as general assistants. However, lack of user-specific knowledge still restricts their application in human's daily life. In this pa
Externí odkaz:
http://arxiv.org/abs/2410.13360