Search Results for author:
Found 10 papers, 2 papers with code
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering
Our result indicates that their adaptation ability is weaker than generation, with a nearly 15% decrease on pass@1 and more context-related errors.
A Fast Power Spectrum Sensing Solution for Generalized Coprime Sampling
The growing scarcity of spectrum resources, wideband spectrum sensing is required to process a prohibitive volume of data at a high sampling rate.
Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver
Further, the block sparse recovery property is analyzed for wide bandwidth signals.
Wideband Power Spectrum Sensing: a Fast Practical Solution for Nyquist Folding Receiver
To address the high-speed sampling bottleneck of wideband spectrum sensing, a fast and practical solution of power spectrum estimation for Nyquist folding receiver (NYFR) is proposed in this paper.
Gaze-Vergence-Controlled See-Through Vision in Augmented Reality
This is because when we want to see through something, it is physically related to our gaze depth/vergence and thus should be naturally controlled by the eyes.
Federated Neural Architecture Search
To preserve user privacy while enabling mobile intelligence, techniques have been proposed to train deep neural networks on decentralized data.
Gaussian Processes for Analyzing Positioned Trajectories in Sports
Then, a modeling approach is proposed to analyze the kinetic flow of both individual and clusters of skiers.
Swarm Intelligence: Past, Present and Future
Many optimization problems in science and engineering are challenging to solve, and the current trend is to use swarm intelligence (SI) and SI-based algorithms to tackle such challenging problems.
Global Convergence Analysis of the Flower Pollination Algorithm: A Discrete-Time Markov Chain Approach
Under the two proper conditions for convergence, it is proved that the simplified flower pollination algorithm can indeed satisfy these convergence conditions and thus the global convergence of this algorithm can be guaranteed.
Detecting community structure using label propagation with weighted coherent neighborhood propinquity
In label update, a node adopts the label that has the maximum weighted-CNP instead of the one that is shared by most of its neighbors.
