Latest Articles for Natural Language Processing

A study on vocabulary trimming for efficient language models.

Calc-X boosts accuracy of language models in math tasks significantly.

This study assesses the capabilities of LLMs in transforming table data into readable text.

Examining how language models express and calibrate confidence scores.

OverPrompt reduces costs and improves task processing for large language models.

PESCO offers efficient text classification using self-supervised learning methods.

This study investigates the trade-off between fairness and privacy in language models.

This article examines parsing challenges in Dutch due to language ambiguity.

A look at improving evaluation metrics for natural language generation models.

A new framework enhances text clustering using large language models.

Researchers push boundaries of language models with few-shot learning techniques.

Researchers utilize language models to create clear event schemas for better predictions.

Research enhances model performance for low-resource languages using meta-learning.

Exploring case-based reasoning for effective machine reading comprehension.

New methods improve summarization without excessive memory use.

Researchers improve text generation from structured data using cycle training methods.

This study evaluates how well language models use learned knowledge in practical tasks.

A new method addresses the challenges faced by language models in providing accurate answers.

A method to enhance the accuracy of text generation in language models.

Examining how gender bias affects evaluation metrics in image captioning.

New methods improve processing speed while maintaining accuracy in language models.

A new method for distilling large language models without teacher models.

Explore the fundamentals and applications of Deep Learning and its geometric variant.

GoT enhances language models by representing thoughts as a network.

This article explains how language models solve tasks using simple mathematical methods.

A new method enhances resource use in text generation models.

Innovative methods improve NLP model efficiency and performance with fewer resources.

This article examines how noise affects morphological inflection model performance.

This paper investigates how language models approach hypothetical scenarios and reasoning.

Exploring methods to maintain knowledge in machine learning systems.

CARAMEL offers efficient storage and fast access for large data sets.

New pre-training strategies enhance text classification without prior label training.

A method to enhance text classification models against adversarial changes.

This study examines how well language models understand scalar adverbs.

A new method enhances image captioning through diverse image representations.

Harnessing surface-level similarities boosts language model performance significantly.

A look into better summarization methods for Urdu writing using new technology.

This article examines feature collapse in machine learning and its implications.

Clarification questions are essential for effective communication in conversational systems.

New dataset enhances models for translating medical questions into SQL queries.