AI research project
LLMPopcorn
An LLM-assisted pipeline for generating and evaluating titles, cover prompts, and short-video prompts designed for audience appeal.
- Year
- 2026
- Status
- active
- Focus
- Python · RAG · Video Generation
What it does
LLMPopcorn explores how language models can assist popular micro-video creation. The released pipeline generates titles, cover-image prompts, and short video prompts, then evaluates the resulting content with an offline popularity estimator.
Alongside direct generation, the project includes a prompt-enhancement mode that combines retrieval-augmented generation with step-by-step prompting over the MicroLens dataset.
Evidence and scope
This page is a concise guide to the work. Use the primary paper for the experimental setup, quantitative results, limitations, and formal claims; use the repository for the implementation and current reproduction instructions.