Latest Articles for Natural Language Processing

New approaches in fine-tuning improve performance and reduce resource use.

A study on filling missing verbal elements in sentences for better machine understanding.

This article examines recent improvements in creating written audio descriptions.

A new method to enhance data for relation extraction tasks.

A novel method enhances metaphor detection using limited training data.

Introducing a modular method for zero-shot visual question answering.

A new method enhances the clarity of AI model rationales.

A new dataset enhances scene graph parsing for better image and text connections.

A new method for evaluating language models' numerical reasoning skills.

Introducing MatSci-NLP to improve text processing in materials science.

Two methods enhance language model performance in converting natural language to SQL queries.

This article investigates the necessity of the query component in transformer models.

A new model enhances data generation from multiple input types.

KARD enhances small models by integrating external knowledge for better reasoning.

A new framework improves reliability and accuracy in NER systems.

Introducing Tab-CoT for improved reasoning in language models using tables.

This article examines methods to enhance language models for diverse languages.

New model improves coreference resolution through parallel multilingual data.

A novel approach reduces document processing time and resources for language models.

A new approach integrates kernel methods with deep learning for better performance.

A new method enhances vision-language models through real-time feedback for better performance.

A new approach enhances language models by directly optimizing for human preferences.

New methods aim to enhance user query translation to SQL.

LayoutMask enhances text and layout interaction for better document comprehension.

This research focuses on using keywords to enhance language model responses.

A new model enhances confidence scores in speech recognition systems.

W-Procer enhances named entity recognition in medical texts using few-shot learning.

PaLI-X combines vision and language skills, excelling in diverse tasks.

This article examines how citation habits in NLP have evolved over time.

SlimFit reduces memory use for transformer models during fine-tuning.

A new framework enhances evaluation of NLP models against adversarial attacks.

This method enhances vision and language models without needing labeled images.

This study explores new methods for improving math problem-solving using language models.

Exploring new methods to enhance language models using few-shot paraphrasing.

This research improves NER models for better clinical text analysis.

This study explores using summarization to enhance event detection in lengthy documents.

A new approach enhances Named Entity Recognition with limited data.

New benchmark assesses language models' grasp of negation in various contexts.

Introducing I-STAR to adjust model isotropy for improved language processing.

Self-verification enhances accuracy and trust in healthcare data extraction.