---
title: "John Thickstun — papers"
description: "John Thickstun: 2 papers in the Elamur Research library (2021–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/john-thickstun/"
---
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# John Thickstun

2 papers on this site (2021–2022)

[OpenAlex](https://openalex.org/A5039056454) · [ORCID](https://orcid.org/0000-0003-1268-8677) · h-index 10 · 41 works · 697 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Diffusion-LM Improves Controllable Text Generation](https://md.research.elamur.ai/free/en/papers/li-2022-diffusion-lm-improves-controllable-text/) — Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al. · 2022
- [MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers](https://md.research.elamur.ai/free/en/papers/pillutla-2021-mauve-measuring-gap-between-neural/) — Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al. · 2021