297 citations · 302 across the 6 of their papers we have counts for
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cs.CL2021
The Power of Prompt Tuning for Low-Resource Semantic Parsing
Nathan Schucher, Siva Reddy, Harm de Vries
Prompt tuning has recently emerged as an effective method for adapting pre-trained language models to a number of language understanding and generation tasks. In this paper, we inv…
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…