Latest Articles for Natural Language Processing

A framework improves LLM performance by integrating tailored toolsets for various tasks.

A look at how tree-search methods improve large language models.

A new dataset improves zero-shot learning for video action recognition.

An in-depth look at how LLMs convert language into code across multiple tasks.

New dataset and model improve object identification from complex queries.

This study reviews NER model performance on Dungeons and Dragons adventure books.

This study enhances performance in multilingual question answering using innovative methods and data strategies.

Assessing LLMs' abilities with Turtle syntax in knowledge graph tasks.

SCALE combines specialized and large models to improve translation, especially for low-resource languages.

This article discusses the integration of self-supervised learning and energy-based models in machine learning.

A new method to predict emotions during conversations, enhancing human-machine interaction.

A study on embedding layers and their impact on language model performance.

New framework enhances model performance with quality data.

A study on how context affects the duration of statement validity.

A new method for assessing AI models through embeddings and meta features.

This article examines methods to classify words using non-deterministic automata.

GLIDE-RL enhances AI's ability to follow natural language instructions through a multi-agent framework.

An overview of large language models and their impact on communication technology.

New methods for creating medical decision trees from texts enhance clinical decision-making.

This research enhances image classification using detailed descriptions generated by language models.

ProText enhances vision-language models using text-only data for better task handling.

Examining how language models handle spoken interactions and errors.

Introducing a new method for better evaluation of language model text quality.

Bode is a language model designed to improve text understanding in Portuguese.

New model generates text using pixel representations, improving clarity and performance.

A new approach enhances the integration of speech with language models.

SeTformer improves efficiency in processing images and language.

Explore automatic and conditional complexity in strings and their applications.

A new method that improves language models' ability to handle long texts.

PEneo framework enhances key-value extraction from documents with visual elements.

Exploring the development and impact of modern language models on communication.

STAIR enhances video question answering by breaking down queries into manageable tasks.

A look into how transformers use attention layers for better language processing.

New memory strategies boost performance in handling long input sequences for language models.

Examining how different models for images and text can work together effectively.

A fresh approach enhances text classification through concept mining and cascade calibration.

BELHD improves linking accuracy by addressing homonyms in biomedical texts.

A novel approach to enhancing dialogue agents through self-conversation techniques.

TRIPS enhances efficiency in vision-language tasks by selecting relevant image patches.

Examining how pretrained language models improve text-to-speech quality.