--- title: "Percy Liang — papers and cards" description: "Percy Liang: 2 paper cards in the Research library (2017–2018), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/percy-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/percy-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Percy Liang # Percy Liang 2 paper cards in the Research library · 2017–2018 Percy Liang wrote 2 of the papers Mova reads, in 2017–2018, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Robin Jia](https://md.research.elamur.ai/free/en/authors/robin-jia/), He He, Juncen Li. [OpenAlex](https://openalex.org/A5025255782) · [ORCID](https://orcid.org/0000-0002-0458-6139) · [**h-index 85**](https://openalex.org/authors/A5025255782) · [43805 citations](https://openalex.org/authors/A5025255782) · [462 works](https://openalex.org/works?filter=author.id:A5025255782) — openalex-snapshot, 2026-10-14 The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Percy+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Percy+Liang) · [dblp](https://dblp.org/search?q=Percy+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Percy+Liang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Percy+Liang) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1 ## Papers 1. **[Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer](https://md.research.elamur.ai/free/en/papers/li-2018-delete-retrieve-generate-simple-approach/)** *(2018)* The paper transfers an attribute such as sentiment or style without parallel data. It assumes that a sentence's attribute shows up as a few distinctive phrases, such as a comparative phrase for a negative review. The method has three steps. Delete: score each n-gram by how much more often it appears in one attribute… 2. **[Adversarial Examples for Evaluating Reading Comprehension Systems](https://md.research.elamur.ai/free/en/papers/jia-2017-adversarial-examples-evaluating-reading-comprehension/)** *(2017)* To test whether SQuAD readers understand or only match words, the authors add one distracting sentence to the paragraph that shares many words with the question but does not answer it. ## Co-authors (3) - [Robin Jia](https://md.research.elamur.ai/free/en/authors/robin-jia/) ×2 - He He - Juncen Li ## More papers in the library (22) Pages of the Research library: our summary, the ideas, references and who cites each. - [s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) — Niklas Muennighoff, Zitong Yang, Weijia Shi, et al. · 2025 - [Benchmarking Large Language Models for News Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2024-benchmarking-large-language-models-news/) — Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al. · 2024 - [AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback](https://md.research.elamur.ai/free/en/papers/dubois-2023-alpacafarm-simulation-framework-methods-that/) — Yann Dubois, Xuechen Li, Rohan Taori, et al. · 2023 - [Evaluating Verifiability in Generative Search Engines](https://md.research.elamur.ai/free/en/papers/liu-2023-evaluating-verifiability-generative-search-engines/) — Nelson Liu, Tianyi Zhang, Percy Liang · 2023 - [FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU](https://md.research.elamur.ai/free/en/papers/sheng-2023-flexgen-high-throughput-generative-inference/) — Ying Sheng, Lianmin Zheng, Binhang Yuan, et al. · 2023 - [Lost in the Middle: How Language Models Use Long Contexts](https://md.research.elamur.ai/free/en/papers/liu-2023-lost-middle-language-models-use/) — Nelson F. Liu, Kevin Lin, John Hewitt, et al. · 2023 - [MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation](https://md.research.elamur.ai/free/en/papers/huang-2023-mlagentbench-evaluating-language-agents/) — Qian Huang, Jian Vora, Percy Liang, et al. · 2023 - [Whose Opinions Do Language Models Reflect?](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/) — Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al. · 2023 - [Contrastive Decoding: Open-ended Text Generation as Optimization](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 - [Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP](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 - [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 - [LinkBERT: Pretraining Language Models with Document Links](https://md.research.elamur.ai/free/en/papers/yasunaga-2022-linkbert-pretraining-language-models-document/) — Michihiro Yasunaga, Jure Leskovec, Percy Liang · 2022 - [An Explanation of In-context Learning as Implicit Bayesian Inference](https://md.research.elamur.ai/free/en/papers/xie-2021-explanation-context-learning-implicit-bayesian/) — Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al. · 2021 - [Certified Robustness to Adversarial Word Substitutions](https://md.research.elamur.ai/free/en/papers/jia-2019-certified-robustness-adversarial-word-substitutions/) — Robin Jia, Aditi Raghunathan, Kerem Göksel, et al. · 2019 - [Know What You Don't Know: Unanswerable Questions for SQuAD](https://md.research.elamur.ai/free/en/papers/rajpurkar-2018-know-what-you-don-t/) — Pranav Rajpurkar, Robin Jia, Percy Liang · 2018 - [Planning, Inference and Pragmatics in Sequential Language Games](https://md.research.elamur.ai/free/en/papers/khani-2018-planning-inference-pragmatics-sequential-language/) — Fereshte Khani, Noah D. Goodman, Percy Liang · 2018 - [QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) — Eunsol Choi, He He, Mohit Iyyer, et al. · 2018 - [From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) — Kelvin Guu, Panupong Pasupat, Evan Liu, et al. · 2017 - [Generating Sentences by Editing Prototypes](https://md.research.elamur.ai/free/en/papers/guu-2017-generating-sentences-editing-prototypes/) — Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al. · 2017 - [Understanding Black-box Predictions via Influence Functions](https://md.research.elamur.ai/free/en/papers/koh-2017-understanding-black-box-predictions-influence/) — Pang Wei Koh, Percy Liang · 2017 - [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://md.research.elamur.ai/free/en/papers/rajpurkar-2016-squad-100-000-questions-machine/) — Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al. · 2016 - [Alignment by Agreement](https://md.research.elamur.ai/free/en/papers/liang-2006-alignment-agreement/) — Percy Liang, Ben Taskar, Dan Klein · 2006