144 citations · 309 across the 12 of their papers we have counts for
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cs.CL2021
Towards Neural Functional Program Evaluation
Torsten Scholak, Jonathan Pilault, Joey Velez-Ginorio
This paper explores the capabilities of current transformer-based language models for program evaluation of simple functional programming languages. We introduce a new program gene…
cs.CL2021★ 4 cited
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau
Large pre-trained language models for textual data have an unconstrained output space; at each decoding step, they can produce any of 10,000s of sub-word tokens. When fine-tuned to…