Latest Articles for Text Generation

A new method offers insights into the trustworthiness of LLM responses.

A new approach to watermarking aims to enhance detection and prevent misuse of language models.

AdvEval exposes weaknesses in Natural Language Generation evaluation metrics.

Research presents STA-1 and STA-M methods for efficient watermarking of AI-generated text.

Improving text generation quality by selecting cleaner examples.

A new technique improves text generation in natural language processing.

An automated text generation system aids communication for those with language challenges.

Introducing ToCa, a method to create captions using only text data.

Examining how biases affect LLMs in representing complex human personas.

A new method enhances the ability to generate diverse texts with specific attributes.

New method increases text generation speed using adaptive candidate selection.

New methods aim to ensure safe and high-quality text generation from language models.

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

A new method to edit language models effectively while maintaining performance.

Study explores methods for adapting AI text for language learners.

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

A novel method improves detection of AI-generated content without access to model data.

This study explores how to create sentences that maintain specific meanings using FrameNet.

A new framework improves the creation of commit messages through automation.

A method to help large language models handle longer texts more efficiently.

A new approach to improve machine text generation quality.

ReadCtrl allows language models to better match text complexity to reader abilities.

New dataset helps assess AI text accuracy and reliability.

A new benchmark for evaluating AI-generated text detection methods.

A new approach to pay for AI-generated text based on quality.

MultiSocial dataset aids in detecting machine-generated texts across 22 languages.

A new system enhances accuracy and reliability in text generation from RALMs.

A method to refine language models by reducing unwanted outputs during training.

A study highlighting weaknesses in language model evaluators and their impact on text quality assessments.

Research highlights how prompts affect AI-generated text detection accuracy.

Learn how inference-time algorithms enhance text generation performance.

New training methods enhance language models' ability to create detailed long texts.

Explore how temperature settings influence text generation in language models.

This article analyzes repetitive structures in text generated by language models.

This article presents a method that streamlines retrieval and text generation in NLP.

A new method improves user prompts for safer and more effective language model outputs.

Min-p sampling offers a promising approach to improve text generation.

A method to verify if LLM content is derived from copyrighted material.

A new approach to improve efficiency and speed in language models.

New methods enhance the trustworthiness of text generated by language models.