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20152023
most citedCoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities

337 citations · 2.3k across the 55 of their papers we have counts for

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Showing 2016Show all

8 papers · 1 filter

cs.LG20161 cited

Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings

Fereshte Khani, Martin Rinard, Percy Liang

Can we train a system that, on any new input, either says "don't know" or makes a prediction that is guaranteed to be correct? We answer the question in the affirmative provided ou…

cs.CL2016

Simpler Context-Dependent Logical Forms via Model Projections

Reginald Long, Panupong Pasupat, Percy Liang

We consider the task of learning a context-dependent mapping from utterances to denotations. With only denotations at training time, we must search over a combinatorially large spa…

cs.LG2016

Unsupervised Risk Estimation Using Only Conditional Independence Structure

Jacob Steinhardt, Percy Liang

We show how to estimate a model's test error from unlabeled data, on distributions very different from the training distribution, while assuming only that certain conditional indep…

cs.CL2016

Data Recombination for Neural Semantic Parsing

Robin Jia, Percy Liang

Modeling crisp logical regularities is crucial in semantic parsing, making it difficult for neural models with no task-specific prior knowledge to achieve good results. In this pap…

cs.CL2016

Learning Language Games through Interaction

Sida I. Wang, Percy Liang, Christopher D. Manning

We introduce a new language learning setting relevant to building adaptive natural language interfaces. It is inspired by Wittgenstein's language games: a human wishes to accomplis…

stat.ML2016

Estimating Mixture Models via Mixtures of Polynomials

Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang

Mixture modeling is a general technique for making any simple model more expressive through weighted combination. This generality and simplicity in part explains the success of the…