Author: Xiangyu Dong (xdong2ps@gmail.com) and Wenhao Yu (wyu1@nd.edu). EMMLP 2021. News text generation.
-
Updated
Sep 8, 2021 - Python
Author: Xiangyu Dong (xdong2ps@gmail.com) and Wenhao Yu (wyu1@nd.edu). EMMLP 2021. News text generation.
This project creates a cryptocurrency news headline generator that leverages large language models (LLMs) to craft informative and engaging headlines based on real-time market data. It draws inspiration from the capabilities of Gemini 1.0 Pro.
LSTM-based language model trained on political news headlines to generate contextually relevant headlines. Features both standard and truncated BPTT training methods, with random and greedy text generation strategies. Built with PyTorch.
Add a description, image, and links to the news-generator topic page so that developers can more easily learn about it.
To associate your repository with the news-generator topic, visit your repo's landing page and select "manage topics."