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federated learning (1)
nlp (6)
paper (5)
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HackMentor: Fine-Tuning Large Language Models for Cybersecurity

nlp
paper
TLDR:
Mar 1, 2024
Zicun Cong

Figure 1. Overview of TabLLM.

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

nlp
paper
The study introduces a method that employs LLMs for zero-shot and few-shot classification of tabular data by serializing the data into natural-language strings. This…
Feb 19, 2024
Zicun Cong

 

Few-Shot Learning of TTPs Classification Using Large Language Models

nlp
paper
This paper proposes a method that combines ChatGPT data augmentation with Instruction Supervised Fine-Tuning of open large language models.
Feb 13, 2024
Zicun Cong

Figure 1. Illustration of example summarization

Summarizing Logs with Pre-Trained Language Models

nlp
paper
In the complex landscape of IT operations, where the sheer volume of data can overwhelm even the most seasoned system engineers, the advent of AIOps (Artificial Intelligence…
Feb 10, 2024
Zicun Cong

Figure 1. Illustration of universal classification

Building Efficient Universal Classifiers with Natural Language Inference

nlp
paper
Let’s face it: understanding and categorizing text can be a headache. Usually, you need to teach a computer model with lots of specific examples to get it right. But what if…
Feb 9, 2024
Zicun Cong

Example of Federated Learning

Federated Malicious URL Detection with Flower and Transformers

project
nlp
federated learning
Cybersecurity is becoming increasingly important in today’s digital landscape, and malicious URLs are one of the most common ways for attackers to compromise user systems.…
Apr 21, 2023
Zicun Cong
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  • Last Update Aug. 2022