Latest Articles for Language Processing

Discover why tokenization is key for computers to understand human language.

This study examines gender bias in large language models across multiple languages.

New methods aim to better evaluate reasoning skills in AI language models.

A new benchmark to improve ASR accuracy using language models.

Model editing can amplify biases and misinformation in language models.

MediSwift revolutionizes biomedical language processing with efficient models focused on medical tasks.

A new method to enhance language models despite noisy human feedback.

This study examines how to enhance English-Irish translations using advanced machine translation models.

This study presents a method to find meanings not listed in dictionaries.

Examining LLMs' capability to address mathematical problems, especially modular arithmetic.

NusaBERT enhances understanding of Indonesia's diverse languages and dialects.

NPHardEval4V assesses reasoning capabilities of multimodal large language models.

New method reduces time for language localization in brain studies.

Integrating visual data enhances translation technology for better results.

A method to reframe negative thoughts into positive insights.

A new dataset to assess planning skills of language models in real-life tasks.

A structured approach to enhance document retrieval based on specific themes.

Combining language models enhances performance in various tasks through collaboration.

A study on the effectiveness of GPT-4 in simplifying sentences.

New metric offers insights into how we combine meanings in language.

Introducing a method to assess reliability in language model outputs.

A novel approach to reward over-optimization in language models using uncertainty estimation.

APRICOT enhances trust in language models by measuring answer confidence accurately.

An analysis of language models' understanding of entity recognition rules.

A smart system to recognize multiple languages without prior training.

Research sheds light on how sentence structures influence our language processing.

Research shows language models struggle with caused-motion constructions.

This study reveals the potential of small language models in radiology tasks.

This article discusses how language models help identify hate speech.

This study addresses challenges in editing language models and mitigating unwanted ripple effects.

Examining how language models recall information: sequential vs. random access.

SHROOM aims to identify and improve the accuracy of language generation systems.

A new benchmark assesses continual learning in multimodal language models.

Evaluating how biases in language models affect real-world applications.

New method enhances how LLMs learn from examples.

SelfIE helps LLMs explain their thought processes clearly and reliably.

New dataset focuses on enhancing Bengali language model performance.

X-LLaVA enhances multilingual capabilities for visual question answering.

Introducing SQ-LLaVA, a method enhancing image questioning and understanding.

Discover how tools enhance language model capabilities and performance.