10 citations · 33 across the 16 of their papers we have counts for
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cs.HC2022
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models
Vikas Raunak, Matt Post, Arul Menezes
In this work, we present some recommendations on the evaluation of state-of-the-art generative models for constrained generation tasks. The progress on generative models has been r…
cs.CL2022★ 1 cited
Additive Interventions Yield Robust Multi-Domain Machine Translation Models
Elijah Rippeth, Matt Post
Additive interventions are a recently-proposed mechanism for controlling target-side attributes in neural machine translation. In contrast to tag-based approaches which manipulate…
cs.CL2022★ 7 cited
SALTED: A Framework for SAlient Long-Tail Translation Error Detection
Vikas Raunak, Matt Post, Arul Menezes
Traditional machine translation (MT) metrics provide an average measure of translation quality that is insensitive to the long tail of behavioral problems in MT. Examples include t…