16 citations
5 papers
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
Donghao Huang, Zhaoxia Wang
Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this clai…
Explainable Sentiment Analysis with DeepSeek-R1: Performance, Efficiency, and Few-Shot Learning
Donghao Huang, Zhaoxia Wang
Large language models (LLMs) have transformed sentiment analysis, yet balancing accuracy, efficiency, and explainability remains a critical challenge. This study presents the first…
A Quantum Algorithm for the Sub-Graph Isomorphism Problem
Nicola Mariella, Andrea Simonetto
We propose a novel variational method for solving the sub-graph isomorphism problem on a gate-based quantum computer. The method relies (1) on a new representation of the adjacency…
Data-Driven Characterization and Detection of COVID-19 Themed Malicious Websites
Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman +2
COVID-19 has hit hard on the global community, and organizations are working diligently to cope with the new norm of "work from home". However, the volume of remote work is unprece…
Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses
Mir Mehedi Ahsan Pritom, Kristin M. Schweitzer, Raymond M. Bateman +2
COVID-19 (Coronavirus) hit the global society and economy with a big surprise. In particular, work-from-home has become a new norm for employees. Despite the fact that COVID-19 can…