Improving the Performance of Large Language Models by Domain-Specific Pre-Training on Clinical Documents. - Bryan D. Steitz; Charreau Bell; Jesse Spencer-Smith; Adam Wright (AMIA, 2022)

Semantic Compression with Large Language Models. - Henry Gilbert; Michael Sandborn; Douglas C. Schmidt; Jesse Spencer-Smith; Jules White (SNAMS, 2023)

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. - Jules White; Quchen Fu; Sam Hays; Michael Sandborn; Carlos Olea; Henry Gilbert; Ashraf Elnashar; Jesse Spencer-Smith; Douglas C. Schmidt (CoRR, 2023)

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design. - Jules White; Sam Hays; Quchen Fu; Jesse Spencer-Smith; Douglas C. Schmidt (CoRR, 2023)

Evaluating the Performance of LLM-Generated Code for ChatGPT-4 and AutoGen Along with Top-Rated Human Solutions. - Ashraf Elnashar; Max Moundas; Douglas C. Schmidt; Jesse Spencer-Smith; Jules White (ICSOFT, 2024)

An Application of Large Language Models to Coding Negotiation Transcripts. - Ray Friedman; Jaewoo Cho; Jeanne M. Brett; Xuhui Zhan; Ningyu Han; Sriram Kannan; Yingxiang Ma; Jesse Spencer-Smith; Elisabeth Jäckel; Alfred Zerres; Madison Hooper; Katie Babbit; et al. (CoRR, 2024)

SuperMetal: a generative AI framework for rapid and precise metal ion location prediction in proteins. - Xiaobo Lin; Zhaoqian Su; Yunchao Liu 001; Jingxian Liu; Xiaohan Kuang; Peter T. Cummings; Jesse Spencer-Smith; Jens Meiler (J. Cheminformatics, 2025)