Latest Articles for Natural Language Processing

A new method for selecting diverse languages in natural language processing research.

Analyzing the true effects of post-training methods on language model performance.

A new method enhances LoRA efficiency and performance in training large models.

Improving trust and compliance in language models through accurate source attribution.

FALIP enhances CLIP's image and text understanding without altering originals.

Analyzing how data order affects memory in recurrent language models.

A new benchmark assesses the temporal reasoning abilities of large language models.

SBoRA improves fine-tuning for large language models, saving resources and enhancing performance.

A new method enhances the evaluation of SQL code generation accuracy.

This article discusses a new model combining visual and language processing.

A guide on creating quality datasets for better language model performance.

CodeCSE improves linking code and comments using contrastive learning for software engineering.

GROD enhances how transformers handle out-of-distribution data for better predictions.

A new model detects social bias in text using synthetic data.

Exploring strategies for improving Large Language Models through collaboration.

A new dataset enhances machine learning in understanding 3D environments and language.

A new system streamlines prompt creation for language models, improving user experience.

This research highlights methods to improve language models by adding new vocabulary effectively.

A study on how LLMs recognize entities in legal documents, focusing on Indian texts.

This paper challenges the belief in self-consistency among answers from language models.

A new method for classifying text with user input and weak supervision.

This study enhances prompt templates for improved performance in language models.

Larger datastores improve the performance and accuracy of retrieval-based language models.

This article examines how Transformers reason and the role of scratchpads.

A method for enhancing existing language models without costly retraining.

Introducing DictaLM 2.0 and DictaLM 2.0-Instruct for improved Hebrew language processing.

Exploring how machines can follow human directions in real-world spaces.

Explores how language models portray emotions linked to diverse religions.

A new method to improve recognition in complex documents.

A flexible model architecture that enhances Transformer efficiency and performance.

Effective data selection improves performance in large language models.

A new approach to finding video moments using natural language queries.

A look at how KGs and LLMs improve AI applications.

Researchers simplify methods for processing text and graphs using language models.

Examining the difficulties models face with long sequences in various applications.

A new method enhancing model performance through effective outlier management.

A voice-driven model transforming audio interaction with technology.

A study reveals key connections in how large language models function.

Introducing Random Subspace Adaptation for efficient language model fine-tuning.

A new framework enhances ASR performance using limited data and resources.