Devdiscourse

AI unlocks hidden signals in drug reviews to flag safety concerns faster

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Tech Xplore

This AI mines the numbers buried in scientific papers and turns them into usable data fast

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
The Lancet

Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study

aLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA bCancer Data Science Laboratory, Center for Cancer Research, National ...
IEEE

A Multi-Label Text Categorization Algorithm Incorporating Label-Guided Attention Mechanisms

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...
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.
Bloomberg L.P.

Bloomberg AI Researchers’ Advance Text-to-SQL Accuracy with Multi-Agent PExA Framework

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...
Scientific Research Publishing

Layer Cake: On Language Representation and Compute Characteristics in Text Classification ()

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.
IEEE

Label-Aware Hierarchical Ranking Model for Multi-Label Text Classification

Abstract: Multi-label text classification involves assigning multiple relevant categories to a single text, enabling applications in academic indexing, medical diagnostics, and e-commerce. However, ...