2 papers
cs.CL2021
Pragmatic competence of pre-trained language models through the lens of discourse connectives
Lalchand Pandia, Yan Cong, Allyson Ettinger
As pre-trained language models (LMs) continue to dominate NLP, it is increasingly important that we understand the depth of language capabilities in these models. In this paper, we…
cs.CL2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models
Lalchand Pandia, Allyson Ettinger
Pre-trained LMs have shown impressive performance on downstream NLP tasks, but we have yet to establish a clear understanding of their sophistication when it comes to processing, r…