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Percy Liang
Researcher at Stanford University
Publications - 369
Citations - 42254
Percy Liang is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Parsing. The author has an hindex of 75, co-authored 306 publications receiving 29242 citations. Previous affiliations of Percy Liang include University of California, Berkeley & Google.
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Identifiability and Unmixing of Latent Parse Trees
TL;DR: This article explored unsupervised learning of parsing models along two directions: identifying which models are identifiable from infinite data, and estimating the parameters efficiently for identifiable models, where the topology of the parse tree varies across sentences.
Proceedings ArticleDOI
ExpBERT: Representation Engineering with Natural Language Explanations
TL;DR: The authors used BERT fine-tuned on MultiNLI to interpret these explanations with respect to the input sentence, producing explanation-guided representations of the input for relation extraction tasks.
Posted Content
Enabling Language Models to Fill in the Blanks
TL;DR: The authors proposed a simple approach for text infilling, the task of predicting missing spans of text at any position in a document, which can enable LMs to infill entire sentences effectively on three different domains: short stories, scientific abstracts and lyrics.
Proceedings Article
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
TL;DR: Workflow-guided exploration as mentioned in this paper constrains the allowable actions at each time step to be similar to those in the demonstration (e.g., "Step 1: click on a textbox; Step 2: enter some text").
Journal ArticleDOI
Evaluating Verifiability in Generative Search Engines
TL;DR: The authors conducted a human evaluation to audit four popular generative search engines (Bing Chat, NeevaAI, perplexity.ai, and YouChat) across a diverse set of queries from a variety of sources (e.g., historical Google user queries, dynamically-collected open-ended questions on Reddit, etc.).