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Evaluation of few-shot learning capabilities for downstream tasks (%).

Evaluation of few-shot learning capabilities for downstream tasks (%).

<p>Evaluation of few-shot learning capabilities for downstream tasks (%).</p>

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Bibliographic Details
Main Author: Chenglong Ge (2626258) (author)
Other Authors: Jing Zhang (23775) (author), Jianping Du (556784) (author), Jiachen Yao (22287863) (author), Tianhe Yang (433724) (author), Xuebin Wang (1788466) (author), Linyu Wang (4624090) (author)
Published: 2025
Subjects:
Biophysics
Biotechnology
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
lyapunov stability criteria
interpretable statistical priors
intelligent perception systems
integrates statistical mechanics
improve trajectory understanding
efficient expansion strategy
dual spatiotemporal adapters
large language models
pro outperforms state
modal adaptation framework
injecting domain knowledge
modal adaptation
art models
unified modeling
training data
shot scenarios
representation collapse
public datasets
new parameters
multimodal data
limited samples
heterogeneous trajectories
heterogeneous conflicts
guided cross
first work
experimental results
effective solution
dynamic features
classification accuracy
approach incorporates
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