Latest Articles for Text Generation

Research explores improving citation text generation using large language models.

A novel method enhances language model performance by addressing uncertainty in text generation.

This study examines watermarking methods for machine-generated text and their effectiveness against removal attacks.

Exploring grammar masking techniques to improve code generation accuracy.

A new model efficiently generates images and text together, fostering innovation.

Learn how automata theory enhances the performance of language models.

A new method to enhance the safety of language models with less effort.

A new method enhances watermarking without sacrificing text quality.

A new method enhances efficiency and quality in language model text generation.

This study focuses on generating citations with appropriate length for better quality.

Learn how Text Style Transfer changes text style while preserving meaning.

This article examines multi-prompt decoding to enhance text generation quality.

Strategies to improve trust and accuracy in language models.

Exploring the use of watermarks to tackle copyright issues in language models.

A new method enhances text generation speed and accuracy using smaller and larger models.

MBR decoding enhances text quality in generation tasks, surpassing traditional methods.

A new method enhances language model output control for varied audiences.

A look at semantic leakage and its impact on language model outputs.

This article examines how format bias affects language model performance and suggests improvement strategies.

SkyScript-100M transforms script generation for short dramas.

New methods enhance language models' efficiency in handling complex tasks.

A new approach to assessing how citations support statements in generated text.

Introducing CBF-LLM: a method for safer text generation in LLMs.

An overview of sampling methods for text generation.

This article examines how to measure factual accuracy in language model summaries.

A method to speed up text generation without losing quality.

Examining memorization in language models and sampling techniques.

LongGenBench assesses large language models in generating high-quality long text.

A new method to assess uncertainty in language model outputs for greater reliability.

A new framework enhances text descriptions using images and structured data.

Research showcases diffusion models for improved table-to-text conversion.

This article examines methods to identify machine-generated text and their implications.

WikiOFGraph enhances G2T generation with high-quality graph-text pairs.

This method allows language models to consider alternative outcomes in text generation.

A new method improves detection of texts generated by language models.

Discover how emojis can bypass AI language model safety measures.

A method to improve steering vector effectiveness in language models.

Two methods enhance the accuracy of AI-generated text evaluations.

Learn how arithmetic sampling improves text generation in language models.

Understanding the rise, detection, and impact of language models.