Latest Articles for Natural Language Processing

Researchers develop a model to improve graph learning using data from various sources.

New methods improve language model predictions under varying input conditions.

TransCLIP enhances predictions by integrating visual and textual data in Vision-Language Models.

A framework to enhance neural networks by integrating human knowledge into learning algorithms.

SpatialRGPT enhances object arrangement understanding in Vision Language Models.

A method using MCMC for effective negative sample generation in contrastive learning.

A new system improves serving large language models across various GPU configurations.

A new method enhances self-training for language agents using reflection models.

Examining how recurrent models can approximate functions based on prompts.

A novel method enhances language models for better efficiency and performance.

Integrating SysCaps into energy modeling simplifies decision-making and improves predictions.

This paper presents a new approach to enhance KGQA performance using GNNs and LLMs.

This research reveals how images and text interact in reasoning tasks.

Examining over-optimization in DAAs and its impact on model performance.

Innovative approach to guide large language models using self-assessment.

The Block Transformer improves text processing speed and efficiency in language models.

A look at uncertainty types and their importance in language models.

A look at models that operate without matrix multiplication for better efficiency.

A new method improves translation quality through effective data augmentation.

This article investigates how language models process verbal aspect in Russian.

Discover how Extended Mind Transformers improve memory handling in language models.

This study focuses on improving zero-shot learning through better entity and relation descriptions.

A new method enhances event resolution by combining language models for better accuracy.

Zyda, a dataset with 1.3 trillion tokens, enhances language model training.

Improving methods for assessing meaning similarity between sentences in natural language.

A new dataset evaluates Large Language Models' reasoning with complex queries.

Assessing question difficulty enhances the effectiveness of information retrieval systems.

A new method improves confidence scoring in language models using stable explanations.

Introducing PlugIR for better image searches through interactive user dialogue.

MIVPG improves how models interpret images and text together.

A new framework improves pruning methods for large language models without retraining.

A new method enhances image classification using detailed textual descriptions.

Introducing a method to fine-tune LLMs on low-resource devices.

A new dataset enhances research in linking events across documents with creative language.

This study examines the use of AI in analyzing student answers in biology education.

A new model replicates human-like understanding in AI systems.

New methods like PromptFix help secure language models from hidden threats.

Exploring multi-label classification to enhance discourse relation recognition.

Evaluating methods for precise control of text features in LLM outputs.

A new approach enhances language model alignment using limited human-annotated data.