Latest Articles for Natural Language Processing

New approach improves stance detection accuracy across diverse topics.

This paper explores the use of quantum computing for analyzing sentiments in text.

A novel approach using instance-wise data augmentation for better adversarial model robustness.

Training strategies impact language models' ability to retain knowledge over time.

Research shows GAP can boost language model performance using random text.

A method to automate use case diagram generation from user stories.

Improving evaluation methods can enhance event extraction reliability and model performance.

The HSGE model improves context understanding in conversational AI.

New method improves spoken language understanding without needing written transcripts.

Explore how CWM reshapes word embeddings for better understanding of language.

Sophia accelerates language model training while reducing costs and resource needs.

This article reviews how well language models manage negation in human language.

This study presents a new way to classify different types of ciphers using machine learning.

Active learning enhances machine performance through human interaction and feedback.

Assessing how language models handle contradictory information through BoardgameQA dataset.

WebGLM combines language models and web information for quick, accurate answers.

This study enhances detection methods for satire and sentiment in Romanian texts.

Anisotropy affects the performance of Transformer models across various data types.

A new method enhances how models grasp image-text relationships.

The study evaluates how mBERT processes the Romansh language using word alignment.

A new method improves image captioning by balancing informativeness and fluency.

New methods enhance text classification by utilizing label relationships and fine-grained descriptions.

A new method improves synthetic speech selection for enhanced ASR system accuracy.

A two-stage method enhances language model training efficiency and performance.

A look at how definition modeling generates word meanings in NLP.

A new method improves SQL generation accuracy from natural language questions.

A new strategy ensures equal representation of data types in machine learning.

A new method enhances image generation from text by properly linking entities and modifiers.

The R2A framework improves video question answering using text retrieval.

Examining the role of checklists in enhancing reproducibility in NLP research.

A new model merges Transformers and State Space Models for improved language processing.

SPLAT improves conversation tracking by adapting to changing schemas efficiently.

This article presents a way to integrate new knowledge into language models.

A new benchmark assesses language models for legal tasks in Switzerland.

New models improve how machines respond to audio-based questions.

This work combines chess game data and language insights for better AI decision-making.

A new model merges text, images, and sounds for better understanding.

Research evaluates how language models handle time-related questions.

A new model enhances sentiment analysis through a structured approach.

A new approach to detect and explain factual inconsistencies in text.