Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

A Generalizable Approach to Learning Optimizers. - Diogo Almeida; Clemens Winter; Jie Tang; Wojciech Zaremba (CoRR, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing. - Benedikt Winter; Clemens Winter; Johannes Schilling; André Bardow (CoRR, 2022)

SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients. - Benedikt Winter; Clemens Winter; Timm Esper; Johannes Schilling; André Bardow (CoRR, 2022)

GPT-4o System Card. - Aaron Hurst; Adam Lerer; Adam P. Goucher; Adam Perelman; Aditya Ramesh; Aidan Clark; AJ Ostrow; Akila Welihinda; Alan Hayes; Alec Radford; Aleksander Madry; Alex Baker-Whitcomb; et al. (CoRR, 2024)