IEEE

Multi-Label Text Classification Using Prompting Techniques via LLMs in Software Effort Estimation

Abstract: Text classification (TC) has gained substantial importance across diverse domains due to the increasing proliferation of internet-based and digital technologies. Organizations worldwide ...
The New York Times

There’s a Third Political Party in Arizona. Just Don’t Call It ‘Independent.’

Both the Democratic and Republican parties in Arizona have been locked in a legal battle with a chapter of the group “No Labels” as it tries to rechristen itself. By Reis Thebault Reporting from ...
IEEE

One Size Does Not Fit All: Exploring Variable Thresholds for Distance-Based Multi-Label Text Classification

Abstract: Distance-based unsupervised text classification is a method within text classification that leverages the semantic similarity between a label and a text to determine label relevance. This ...
Bleeping Computer

New Android malware uses AI to click on hidden browser ads

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...
Frontiers

Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.
ascopubs.org

Prophylactic interventions for oral toxicities with the GPRC5D×CD3 bispecific antibody talquetamab in relapsed/refractory multiple myeloma: An update on the open-label, phase ...

QUINTESSENTIAL-2: A phase 3 study comparing efficacy and safety of arlocabtagene autoleucel (arlo-cel) versus standard regimens in adult patients with relapsed or refractory multiple myeloma (RRMM) ...