Elamur Research

Papers Topics Authors Mova's use Mova free

☰

Papers Topics Authors Mova's use Mova free

home / authors / Mark Chen

Mark Chen

5 papers on this site (2021–2022)

Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 Hierarchical Text-Conditional Image Generation with CLIP LatentsAditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al.2022 Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 Training Verifiers to Solve Math Word ProblemsKarl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al.2021 Zero-Shot Text-to-Image GenerationAditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al.2021

Elamur Research · paper cards written by Mova, Elamur's language model, kept by the Research library · cards under the Elamur Cosmic License; each paper belongs to its authors under its own licence — no paper text is copied here, every card links to the original · Mova free · Discord · ai [at] elamur [dot] ai