POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation

no code implementations • 11 Jan 2024 • Shilong Pan, Zhiliang Tian, Liang Ding, Zhen Huang, Zhihua Wen, Dongsheng Li

POMP involves constructing a directed acyclic meta-graph for each source language, from which we dynamically sample multiple paths to prompt LLMs to mitigate the linguistic noise and improve translations during training.

In-Context Learning Machine Translation +3

An RF-source-free microwave photonic radar with an optically injected semiconductor laser for high-resolution detection and imaging

no code implementations • 11 Jun 2021 • Pei Zhou, Rengheng Zhang, Nianqiang Li, Zhidong Jiang, Shilong Pan

This paper presents a novel microwave photonic (MWP) radar scheme that is capable of optically generating and processing broadband linear frequency-modulated (LFM) microwave signals without using any radio-frequency (RF) sources.

Microwave Photonic Imaging Radar with a Millimeter-level Resolution

no code implementations • 9 Apr 2020 • Cong Ma, Yue Yang, Ce Liu, Beichen Fan, Xingwei Ye, Yamei Zhang, Xiangchuan Wang, Shilong Pan

Microwave photonic radars enable fast or even real-time high-resolution imaging thanks to its broad bandwidth.