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Percy Liang

Stanford University
University of California, Berkeley

352

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Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation.

2022 CoRR
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CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities.

2022 CHI | Conference on Human Interface
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Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.

2022 CoRR
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GreaseLM: Graph REASoning Enhanced Language Models for Question Answering.

2022 CoRR
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LM-Critic: Language Models for Unsupervised Grammatical Error Correction.

2021 EMNLP | Empirical Methods in Natural Language Processing
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Prefix-Tuning: Optimizing Continuous Prompts for Generation

2021 ACL | Meeting of the Association for Computational Linguistics
- Xiang Lisa Li
- Percy Liang
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Catformer: Designing Stable Transformers via Sensitivity Analysis

2021 ICML | International Conference on Machine Learning
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Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately

2021
- Fereshte Khani
- Percy Liang
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Stronger Data Poisoning Attacks Break Data Sanitization Defenses

2021 Machine Learning
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Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

2021 WWW | The Web Conference
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