4 papers
BLooP: Zero-Shot Abstractive Summarization using Large Language Models with Bigram Lookahead Promotion
Varun Iyer, Cornelia Caragea
Abstractive summarization requires models to generate summaries that convey information in the source document. While large language models can generate summaries without fine-tuni…
TRIPP: A General Purpose Data Pipeline for Astronomical Image Processing
Alex Thomas, Natalie LeBaron, Luca Angeleri +26
We present the TRansient Image Processing Pipeline (TRIPP), a transient and variable source detection pipeline that employs both difference imaging and light curve analysis techniq…
The Local Galactic Transient Survey Applied to an Optical Search for Directed Intelligence
Alex Thomas, Natalie LeBaron, Luca Angeleri +26
We discuss our transient search for directed energy systems in local galaxies, with calculations indicating the ability of modest searches to detect optical Search for Extraterrest…
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu +3
Paraphrase generation is a long-standing task in natural language processing (NLP). Supervised paraphrase generation models, which rely on human-annotated paraphrase pairs, are cos…