Latest Articles for Language Processing

An overview of how machines process text, images, and audio.

Examining the reliability of human feedback for assessing language model outputs.

A new framework enhances detection of harmful online language through continuous learning.

New methods improve machine translation for low-resource languages.

Examining how biases affect the quality of language model evaluations.

A new method combines language models with reinforcement learning for AI training.

New methods improve speech processing and generation in language models.

SelfExtend offers a new approach to enhance LLMs' long text processing.

This paper examines techniques to reduce hallucination in language models for better accuracy.

A new framework enhances visual reasoning using language models as controllers.

Exploring how language models recover and adapt after changes.

New method improves learning new classes with less data.

A new method for accurate Arabic text diacritization is introduced.

New method enhances retrieval efficiency across languages without heavy translation.

A new dataset for improving e-commerce image and text recognition.

Examining the nature and capabilities of language models in generating meaningful text.

A dataset tests language models on self-referential language tasks.

QE-fusion enhances translation quality by combining multiple candidate outputs.

Evaluating language models on their ability to grasp context in communication.

A new approach using multi-agent systems to enhance smaller language models.

A study reveals small language models struggle with multiple choice questions.

This study focuses on enhancing retrieval-augmented generation methods for Brazilian Portuguese.

A new dataset enhances the connection between language and 3D environments.

A new method to improve response times in language models by separating processing phases.

This study assesses the performance of language models on modified math problems.

A new method enhances how we identify synonyms and antonyms.

Investigating the risks of jailbreak attacks on Large Language Models.

Microsoft's MuLanTTS offers natural and expressive French text-to-speech capabilities.

MuMo speeds up language model performance for non-Roman scripts.

The study investigates universal neurons in GPT-2 models and their roles.

A study on MLLMs and their performance in nonverbal reasoning tasks.

This article explores using game theory to enhance communication through language models.

The CLAP model bridges audio and text processing for various applications.

This study examines how language structure boosts layout predictions in machines.

A new framework speeds up information retrieval for language models.

Exploring ways to improve sequence labeling in language models.

This article examines how transformer models deal with multiword expressions and their associated challenges.

Gradient-Based Red Teaming improves safety in language models.

Exploring new ways to categorize inaccuracies in language models for better understanding.

A new dataset enhances the extraction of key entities in various English texts.