Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
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Updated
May 5, 2024 - Jupyter Notebook
Study Uses LLMs to craft accurate, engaging headlines from Reddit Posts
A Dataset for Thai text summarization from Thairath, ThaiPBS, Prachathai and The Standard with over 350,000 articles. Trained models are provided.
Production http server for our finetuned gpt-j model gptj-title-teaser-10k.
This is the official repository contains the code, data, and models of the paper titled "Shironaam: Bengali News Headline Generation using Auxiliary Information", accepted for publication in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL’23), May 2-6, 2023.
Title and teaser generation for journalistic texts.
Automated Headline generation and Aspect Based Sentiment Analysis
Improving GPT-J for snippet generation.
Codebase, data and models for the Headline Grouping paper at NAACL2021
NVIDIA DLI "딥러닝의 기초" 워크숍 레포지토리
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
A very simple repo for Text Classification, Sentiment Identification and Headline generator for Mobile tech. articles and tweets.
Implementing Hidden MarkovModel to generate new text and complete sentences
News headline (title) generation using neural nets, trained on RIA dataset (russian lang)
A Bert2Bert model which able to generate headlines!
Scraping tweets and articles from news twitter handles. Can be used for teaser generation and news headline generation.
A parallel corpus of article-headline pairs obtained from Japanese Wikinews.
Code for the Churnalist headline generation system
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