---
title: "Percy Liang — papers of 2022 — 9 papers, the most cited first"
description: "Percy Liang — papers of 2022: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Percy Liang — papers of 2022 — 9 papers, the most cited first

9 papers · [all years of Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/#years)

**[LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michihiro Yasunaga, Jure Leskovec, Percy Liang*2022 · 458 citations*

- [Diffusion-LM Improves Controllable Text Generation arXiv:2205.14217](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 · 440 citations

**[CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities](https://md.research.elamur.ai/free/en/papers/lee-2022-coauthor-designing-human-ai-collaborative/) [CHI Conference on Human Factors in Computing Systems](https://md.research.elamur.ai/free/en/venues/chi-conference-on-human-factors-in-computing-systems/)**Mina Lee, Percy Liang, Qian Yang*2022 · 423 citations*

- [Social Simulacra: Creating Populated Prototypes for Social Computing Systems arXiv:2208.04024](https://md.research.elamur.ai/free/en/papers/park-2022-social-simulacra-creating-populated-prototypes/) — Joon Sung Park, Lindsay Popowski, Carrie J. Cai, et al. · 2022 · 310 citations
- [Contrastive Decoding: Open-ended Text Generation as Optimization arXiv:2210.15097](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/) — Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al. · 2022 · 254 citations
- [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP arXiv:2212.14024](https://md.research.elamur.ai/free/en/papers/khattab-2022-demonstrate-search-predict-composing-retrieval/) — Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al. · 2022 · 222 citations

**[What Can Transformers Learn In-Context? A Case Study of Simple Function Classes](https://md.research.elamur.ai/free/en/papers/garg-2022-transformers-learn-context-case-study/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shivam Garg, Dimitris Tsipras, Percy Liang, et al.*2022 · 209 citations*

- [Retrieval-Augmented Multimodal Language Modeling arXiv:2211.12561](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-retrieval-augmented-multimodal-language-modeling/) — Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, et al. · 2022 · 104 citations

**[Truncation Sampling as Language Model Desmoothing](https://md.research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**John Hewitt, Christopher Manning, Percy Liang*2022 · 95 citations*