LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
Hosted on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
GitHub

DNNC-few-shot-intent

Jianguo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, and Caiming Xiong. Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Minimum-Norm Adversarial Examples on KNN and KNN based Models

Abstract: We study the robustness against adversarial examples of kNN classifiers and classifiers that combine kNN with neural networks. The main difficulty lies in the fact that finding an optimal ...
IEEE

Real-Time Crime Detection System for Public Safety Based on YOLO Model and Transfer Learning

Abstract: Crime is a global threat that can affect individuals and any nation when it is not adequately curtailed. The literature survey, global news, and reports in Nigeria show that security threats ...
Frontiers

PyRAT: An Open-Source Python Library for Animal Behavior Analysis

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...