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20192022
most citedBenchmarking Multimodal Regex Synthesis with Complex Structures

2 citations · 2 across the 2 of their papers we have counts for

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cs.CL2022

Assessing Out-of-Domain Language Model Performance from Few Examples

Prasann Singhal, Jarad Forristal, Xi Ye +1

While pretrained language models have exhibited impressive generalization capabilities, they still behave unpredictably under certain domain shifts. In particular, a model may lear…

cs.CL2021

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals

Xi Ye, Rohan Nair, Greg Durrett

When a model attribution technique highlights a particular part of the input, a user might understand this highlight as making a statement about counterfactuals (Miller, 2019): if…

cs.CL2020

Optimal Neural Program Synthesis from Multimodal Specifications

Xi Ye, Qiaochu Chen, Isil Dillig +1

Multimodal program synthesis, which leverages different types of user input to synthesize a desired program, is an attractive way to scale program synthesis to challenging settings…

cs.CL20202 cited

Benchmarking Multimodal Regex Synthesis with Complex Structures

Xi Ye, Qiaochu Chen, Isil Dillig +1

Existing datasets for regular expression (regex) generation from natural language are limited in complexity; compared to regex tasks that users post on StackOverflow, the regexes i…

cs.CL2019

Sketch-Driven Regular Expression Generation from Natural Language and Examples

Xi Ye, Qiaochu Chen, Xinyu Wang +2

Recent systems for converting natural language descriptions into regular expressions (regexes) have achieved some success, but typically deal with short, formulaic text and can onl…