Percy Liang
Impact in
- Artificial Intelligence top 0.02%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Health Informatics top 0.5%
Papers in
-
- Topic Modeling 61
- Natural Language Processing Techniques 56
- Machine Learning and Algorithms 23
- Machine Learning and Data Classification 20
- Adversarial Robustness in Machine Learning 14
- Speech and dialogue systems 13
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- Multimodal Machine Learning Applications 15
- Co-authors
- Pranav Rajpurkar (2 shared papers)Robin Jia (8 shared papers)Jian Zhang (1 shared paper)Xiang Lisa Li (3 shared papers)Dan Klein (18 shared papers)Jonathan Berant (4 shared papers)Michael I. Jordan (11 shared papers)Roy Frostig (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (5 papers)ACM SIGPLAN Notices (4 papers)Science (2 papers)PLoS ONE (1 paper)Annual Review of Linguistics (1 paper)
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Percy Liang
138 papers receiving 13.7k citations
Percy Liang's Hit Papers
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 12.4k
- Health Informatics 239
- Computer Vision and Pattern Recognition 3.8k
- Software 294
- Information Systems 1.6k
Countries citing papers authored by Percy Liang
This map shows the geographic impact of Percy Liang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Percy Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Percy Liang more than expected).
Fields of papers citing papers by Percy Liang
This network shows the impact of papers produced by Percy Liang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Percy Liang. The network helps show where Percy Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Percy Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SQuAD: 100,000+ Questions for Machine Comprehension of Text Hit paper breakdown → | 2016 | 3263 |
| 2 | Prefix-Tuning: Optimizing Continuous Prompts for Generation Hit paper breakdown → | 2021 | 1327 |
| 3 | Know What You Don’t Know: Unanswerable Questions for SQuAD Hit paper breakdown → | 2018 | 1014 |
| 4 | Semantic Parsing on Freebase from Question-Answer Pairs Hit paper breakdown → | 2013 | 815 |
| 5 | Adversarial Examples for Evaluating Reading Comprehension Systems Hit paper breakdown → | 2017 | 675 |
| 6 | Generative Agents: Interactive Simulacra of Human Behavior Hit paper breakdown → | 2023 | 649 |
| 7 | QuAC: Question Answering in Context Hit paper breakdown → | 2018 | 352 |
| 8 | Lost in the Middle: How Language Models Use Long Contexts Hit paper breakdown → | 2024 | 350 |
| 9 | Semantic Parsing via Paraphrasing Hit paper breakdown → | 2014 | 302 |
| 10 | 2006 | 300 | |
| 11 | Learning Dependency-Based Compositional Semantics Hit paper breakdown → | 2012 | 292 |
| 12 | Holistic Evaluation of Language Models Hit paper breakdown → | 2023 | 279 |
| 13 | QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering Hit paper breakdown → | 2021 | 264 |
| 14 | 2016 | 228 | |
| 15 | CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities Hit paper breakdown → | 2022 | 209 |
| 16 | Learning Bilingual Lexicons from Monolingual Corpora | 2008 | 202 |
| 17 | 2006 | 195 | |
| 18 | 2019 | 185 | |
| 19 | 2009 | 185 | |
| 20 | 2015 | 169 |
About Percy Liang
Percy Liang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Signal Processing, having authored 148 papers that have together received 14.7k indexed citations. Recurring topics across this work include Topic Modeling (61 papers), Natural Language Processing Techniques (56 papers), Machine Learning and Algorithms (23 papers), Machine Learning and Data Classification (20 papers), Multimodal Machine Learning Applications (15 papers), Adversarial Robustness in Machine Learning (14 papers), Speech and dialogue systems (13 papers) and Software Engineering Research (10 papers). The work is most often cited by research in Artificial Intelligence (12.4k citations), Health Informatics (239 citations), Computer Vision and Pattern Recognition (3.8k citations), Software (294 citations) and Information Systems (1.6k citations). Percy Liang has collaborated with scholars based in United States, France and Israel. Frequent co-authors include Pranav Rajpurkar, Robin Jia, Jian Zhang, Xiang Lisa Li, Dan Klein, Jonathan Berant, Michael I. Jordan, Roy Frostig, Andrew Chou and Ben Taskar. Their work appears in journals such as Transactions of the Association for Computational Linguistics, ACM SIGPLAN Notices, Science, PLoS ONE and Annual Review of Linguistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.