---
title: "Jack Hessel — papers of 2022 — 3 papers, the most cited first"
description: "Jack Hessel — papers of 2022: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Jack Hessel — papers of 2022 — 3 papers, the most cited first

3 papers · [all years of Jack Hessel](https://md.research.elamur.ai/free/en/authors/jack-hessel/#years)

**[Symbolic Knowledge Distillation: from General Language Models to Commonsense Models](https://md.research.elamur.ai/free/en/papers/west-2022-symbolic-knowledge-distillation-general-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Peter West, Chandra Bhagavatula, Jack Hessel, et al.*2022 · 349 citations*

- [Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/) — Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al. · 2022 · 174 citations

**[Quark: Controllable Text Generation with Reinforced Unlearning](https://md.research.elamur.ai/free/en/papers/lu-2022-quark-controllable-text-generation-reinforced/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Ximing Lu, Sean Welleck, Jack Hessel, et al.*2022 · 170 citations*