Latest Articles for Natural Language Processing

Discover how vocabulary size influences the performance of large language models.

This study compares methods for stance detection on key topics in Arabic texts.

A study on how well LLMs function as reliable knowledge bases.

A new approach to analyzing unstructured data using advanced querying techniques.

A new dataset to assess question-answering in Indian languages.

A new model effectively identifies authorship by analyzing writing styles.

LIAR offers a new way to prune models without retraining, enhancing efficiency and performance.

RAG combines data retrieval and text generation for better language model performance.

A new method enhances prompt tuning effectiveness and interpretability.

This study explores methods to create smaller language models effectively and affordably.

Research reveals how friendly prompts can mislead AI systems.

A new method that enhances LLM performance while reducing resource use.

A study on the reliability of LLM self-explanations in natural language tasks.

ChatQA 2 enhances performance in processing long texts and retrieval tasks.

This study assesses the reasoning skills of audio-language models with a new task.

A robust dataset for training advanced chat-based AI systems.

A new approach to state-space models enhances efficiency and performance in language tasks.

New model improves visual reasoning by utilizing 3D reconstruction methods.

New method RoE enhances multi-modal large language models' efficiency with dynamic routing.

Examining the impact of model size on data-to-text generation performance.

Learn how early exiting improves efficiency in Natural Language Processing models.

This study focuses on generating citations with appropriate length for better quality.

E-LLaGNN improves GNNs by selectively using language models for better performance.

A modular approach enhances sentence encoders across various languages.

A new approach to improve text-to-image model prompts for enhanced results.

Learn how Text Style Transfer changes text style while preserving meaning.

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

This article examines how user assistance can improve large language models' performance in generating SQL queries.

A method to improve vision-language models by reducing overfitting.

A new dataset enhances the accuracy of event factuality detection in texts.

This article examines multi-prompt decoding to enhance text generation quality.

TAGCOS optimizes instruction tuning by selecting effective data subsets for language models.

This study analyzes methods for improving language model alignment with human preferences.

A new knowledge base for chemical patent searches aims to enhance reaction extraction.

A new method combines language models and databases for better data access.

A new model improves efficiency in task-oriented dialog systems without heavy manual work.

DDK enhances knowledge distillation, making smaller language models more efficient.

A new framework enhances knowledge graph completion efficiency and accuracy using large language models.

Research enhances language models' ability to process time-related information in tables.

A new method improves how vision-language models adapt during testing.