Latest Articles for Text Processing

A new dataset to study label noise in text classification.

CompAct efficiently summarizes documents, improving question answering capabilities.

A new framework for verifying authorship with clear explanations.

Research reveals vulnerabilities in watermarking methods for AI-generated text.

Exploring how transformers analyze sentiments in text, such as movie reviews.

Analyzing the effectiveness of RAG and long-context LLMs in processing text.

Learn how CDS enhances string processing efficiency across various fields.

Learn about suffixient sets and their role in optimizing text searches.

A new model improves handling missing textual data in datasets.

This study focuses on identifying key text parts in legal problem descriptions.

This article investigates absent scattered factors and their significance in word structure.

A new method combines extractive and abstractive techniques for clearer regulatory document summaries.

Blending text and images for efficient AI training.

A study on sentiment analysis and the effectiveness of language models.

New methods enhance image generation from text with improved quality and efficiency.

RAG remains vital in optimizing language model responses, especially with long texts.

Explore the unique ways to factor strings in computer science.

Researchers develop a technique to safeguard important words in text data.

This paper presents late chunking for better text retrieval by preserving context.

A study assessing AI's effectiveness in social media text annotation.

HEARTS aims to improve stereotype detection in text while ensuring explainability and sustainability.

MoRAG enhances human motion generation from text descriptions using part-specific retrieval.

Introducing a framework to improve text classification for unfamiliar data.

Learn how covers enhance efficiency in string processing and analysis.

This study focuses on enhancing entity recognition in old texts affected by OCR errors.

Examining the difficulties in simplifying texts for better readability.

Exploring new methods for reducing text data size efficiently.

A look into how researchers tackle substring discovery in run-length encoded text.

SuperClass simplifies image and text recognition for easier research access.

Learn how new techniques improve searching for words in strings and graphs.

Learn to make the most of limited data for language models.

Introducing CAALM-TC, a method that improves text classification using language models.

A look into methods and challenges in segmenting text by topics.

A look at how 2D Matryoshka Training improves computer text understanding.

A new method simplifies summarization for Bengali texts.

Discover how noise patterns can enhance text-to-image model accuracy.

Machines often focus on beginnings in text, impacting information retrieval.

Discover how LITA simplifies topic modeling using AI for better insights.

Learn how INTACT protects personal information while maintaining text clarity.

This study examines how AI models identify metaphors in literary texts.