Traditional text classification typically categorizes texts into pre-def...
Large language models (LLMs) are known for their exceptional performance...
Joint entity and relation extraction (JERE) is one of the most important...
Structural probing work has found evidence for latent syntactic informat...
Text style transfer (TST) without parallel data has achieved some practi...
The aim of this paper is to study the performance of the amplitude-based...
Block-STM is a parallel execution engine for smart contracts, built arou...
In this paper, we describe our system for the AAAI 2021 shared task of
C...
Existing single-stream logging schemes are unsuitable for in-memory data...
The aim of sparse phase retrieval is to recover a k-sparse signal
𝐱_0∈ℂ^...
With ongoing developments and innovations in single-cell RNA sequencing
...
Navigation applications relying on the Global Navigation Satellite Syste...
We study the stable recovery of complex k-sparse signals from as few
pha...
Data clustering is a fundamental problem with a wide range of applicatio...
Network monitoring and measurement are crucial in network management to
...
Network monitoring and measurement are crucial in network management to
...
Given a point set S and an unknown metric d on S, we study the problem o...