47 citations · 125 across the 23 of their papers we have counts for
4 papers · 1 filter
Natural Language Deduction with Incomplete Information
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri +1
A growing body of work studies how to answer a question or verify a claim by generating a natural language "proof": a chain of deductive inferences yielding the answer based on a s…
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…
Entity Cloze By Date: What LMs Know About Unseen Entities
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi +1
Language models (LMs) are typically trained once on a large-scale corpus and used for years without being updated. However, in a dynamic world, new entities constantly arise. We pr…
Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version)
Benjamin Mariano, Yanju Chen, Yu Feng +2
While many mainstream languages such as Java, Python, and C# increasingly incorporate functional APIs to simplify programming and improve parallelization/performance, there are no…