IEEE

LLM-Based Text Style Transfer: Have We Taken a Step Forward?

Abstract: Text style transfer is the task of altering the stylistic way in which a given sentence is written while maintaining its original meaning. The task requires models to identify and modify ...
GitHub

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems

We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose Lossless HTML Cleaning and Two-Step ...
IEEE

Efficient Text Style Transfer Through Robust Masked Language Model and Iterative Inference

Abstract: Emergence of Large Language Models (LLMs) have prompted researchers to exploit the abilities of such models for text style transfer (TST). However, these models are prone to hallucinations ...
GitHub

StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter

TL;DR: We propose StyleCrafter, a generic method that enhances pre-trained T2V models with style control, supporting Style-Guided Text-to-Image Generation and Style-Guided Text-to-Video Generation. 1.