Latest Articles for Natural Language Processing

New method improves image captions with more detail and diversity.

A study examines how sociodemographic factors influence labeling behavior in natural language processing.

Exploring new methods for effective text summarization in Slovene language.

A novel dataset improves understanding of structured data through natural language descriptions.

A study on the reasoning behind document-level relation extraction model predictions.

Research investigates stacked layers in language models for enhanced performance.

Investigating how language models process and attribute feature interactions for improved performance.

This article examines how ChatGPT evaluates user story quality in Agile development.

Study reveals how to identify text samples vulnerable to NLP attacks.

A new method for enhancing soft prompt tuning efficiency and performance.

Efforts to improve multilingual metrics for dialogue systems showcased in recent challenge.

New methods improve efficiency in training smaller neural models.

A framework to improve dialog systems using user feedback for better responses.

An overview of MLLMs and their applications in AI.

A structured approach to enhance transformer models using knowledge graphs.

LeakDistill enhances AMR parsing using structural information and knowledge distillation.

Research explores automation in extracting chemical information from patents using anaphora resolution.

A dataset designed to assess LLMs' use of external tools for answering questions.

A new model improves how language models handle long texts.

This article discusses using language models to enhance predictions for tabular data.

A new method enhances language model outputs using knowledge from graphs.

HeaRT creates clear timelines from complex health records, aiding doctors in patient care.

Examining the effectiveness of synthetic data in grammatical error correction tasks.

New methods aim to enhance the robustness of table question answering systems.

New method enhances SQL query translation by pruning database schemas.

Researchers develop methods to reduce language model size while maintaining performance.

A novel approach improves understanding and performance of word embeddings.

This study enhances smaller AI models using knowledge from larger language models.

A simple overview of tensor decomposition and its various applications.

A new approach improves adversarial training efficiency and model robustness.

Study examines BERT’s ability to predict ratings across different product types.

A new semi-supervised method improves image captioning quality with fewer resources.

ProtoDiff enhances prototype learning for effective classification from limited data.

Learn how Principal Matrix Features streamline data analysis across various fields.

A new method enhances question answering from knowledge bases.

A new graph-based method enhances event extraction from text.

A new approach enhances adversarial training for better model performance.

A study on the effectiveness of language models for grammar correction in Brazilian Portuguese.

Using LLMs for better data labeling enhances low-data NLP model performance.

A framework to improve identification of direct speech in French literature.