Liang, Percy
Stanford University
85 papers on CoChatORCID 0000-0002-0458-6139
Most cited papers
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 6,208
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On the Opportunities and Risks of Foundation Models
Bommasani, R., Hudson, D. A., Adeli, E., Altman, R., Arora, S., von Arx, S., Bernstein, M. S., Bohg, J., Bosselut, A., Brunskill, E., et al. (2021) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 2,676
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Prefix-Tuning: Optimizing Continuous Prompts for Generation
Li, X. L., & Liang, P. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 2,473
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Know What You Don't Know: Unanswerable Questions for SQuAD
Rajpurkar, P., Jia, R., & Liang, P. (2018) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2,242
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Know What You Don’t Know: Unanswerable Questions for SQuAD
Rajpurkar, P., Jia, R., & Liang, P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 2,240
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S., O'Brien, J., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023) · Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
Artificial Intelligence in GamesMulti-Agent Systems and Negotiation
Cited by 2,187
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S., O'Brien, J. C., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023) · arXiv
Artificial Intelligence in GamesMulti-Agent Systems and Negotiation
Cited by 2,173
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Lost in the Middle: How Language Models Use Long Contexts
Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 1,612
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Lost in the Middle: How Language Models Use Long Contexts
Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,599
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Understanding Black-box Predictions via Influence Functions
Koh, P. W., & Liang, P. (2017) · arXiv
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 1,514
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Adversarial Examples for Evaluating Reading Comprehension Systems
Jia, R., & Liang, P. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 1,410
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Emergent Abilities of Large Language Models
Wei, J., Tay, Y., Bommasani, R., Raffel, C., Zoph, B., Borgeaud, S., Yogatama, D., Bosma, M., Zhou, D., Metzler, D., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1,264
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QuAC: Question Answering in Context
Choi, E., He, H., Iyyer, M., Yatskar, M., Yih, W.-T., Choi, Y., Liang, P., & Zettlemoyer, L. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Topic ModelingSpeech and dialogue systems
Cited by 714
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P., Zhang, J., Lopyrev, K., & Liang, P. (2016) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 678
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 569
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WILDS: A Benchmark of in-the-Wild Distribution Shifts
Koh, P. W., Sagawa, S., Marklund, H., Xie, S. M., Zhang, M., Balsubramani, A., Hu, W., Yasunaga, M., Phillips, R. L., Gao, I., et al. (2020) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 518
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Compositional Semantic Parsing on Semi-Structured Tables
Pasupat, P., & Liang, P. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation
Cited by 514
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Holistic Evaluation of Language Models
Bommasani, R., Liang, P., & Lee, T. (2023) · Annals of the New York Academy of Sciences
Topic ModelingNatural Language Processing Techniques
Cited by 480
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Certified Defenses for Data Poisoning Attacks
Steinhardt, J., Koh, P. W., & Liang, P. (2017) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 479
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Data Recombination for Neural Semantic Parsing
Jia, R., & Liang, P. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 441
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Benchmarking Large Language Models for News Summarization
Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2023) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 415
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Benchmarking Large Language Models for News Summarization
Zhang, T., Ladhak, F., Durmus, E., Liang, P., McKeown, K., & Hashimoto, T. B. (2024) · Transactions of the Association for Computational Linguistics
Topic ModelingAdvanced Text Analysis Techniques
Cited by 415
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Designing and Interpreting Probes with Control Tasks
Hewitt, J., & Liang, P. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Natural Language Processing TechniquesTopic Modeling
Cited by 393
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CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities
Lee, M., Liang, P., & Yang, Q. (2022) · CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionSpeech and dialogue systems
Cited by 345
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