Latest Articles for Language Processing

Examining brain activity in expert Braille readers versus traditional script readers.

Exploring RNCs and their role in language processing through identity elements.

New model predicts spoken language using brain signals.

A method enhancing the accuracy and completeness of language model answers.

A method to enhance image generation using Large Language Models.

A fresh look at how facts are stored in language models.

New language models show promise in understanding and generating human language.

Introducing ProCo, a method for better self-correction in large language models.

This study compares how language models express uncertainty compared to human communication.

A look into how compositionality connects language, thought, and AI.

A system to improve cultural representation in AI through simulated dialogues.

This study analyzes how language models recover from reasoning errors during tasks.

Researchers use Brainscore to evaluate AI models against human brain activity.

Study reveals language models utilize complex, multi-dimensional features for language processing.

A new method enhances text recognition accuracy across various applications.

The study reveals how language models generalize rules from limited training data.

This study investigates how our brain processes abstract verbs and their meanings.

A study on how language models express and measure their confidence.

A new framework optimizes the use of large language models efficiently.

DarijaBanking dataset enhances banking systems' understanding of Moroccan Arabic.

Research reveals how the frontal lobe influences visual perception and thought processes.

MotionLLM creates human movements from text for single and multi-person scenarios.

This article examines how language models learn to understand and communicate.

Including non-English data improves vision-language model performance and cultural understanding.

New method reduces hallucination in language models that process images and text.

A new framework for evaluating large language models with human insight.

Techniques to enhance language model effectiveness across diverse languages.

A new method enhances language models by focusing on user preferences.

This article details an innovative approach to improve language models using smaller models.

This study tests LLMs to reveal their weaknesses in understanding and reasoning.

A new method enhances translation quality by optimizing training data selection.

MEMoE enhances model editing for language models, ensuring accurate updates efficiently.

This study evaluates language models' abilities in understanding thoughts and feelings.

A new method aims to address bias in language model outputs.

This study explores using smaller models to enhance safety in AI systems.

A new training method enhances how language models express certainty in answers.

A new method improves language models by learning from real-time data.

D-FaST method improves cognitive signal decoding using frequency, space, and time.

Study assesses seven LLMs on sentiment analysis in mixed-language WhatsApp chats.

Skywork-MoE improves language processing with efficient techniques and innovative architecture.