168 citations · 301 across the 13 of their papers we have counts for
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cs.CL2023★ 4 cited
Post Hoc Explanations of Language Models Can Improve Language Models
Satyapriya Krishna, Jiaqi Ma, Dylan Slack +3
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationale…
cs.LG2023★ 6 cited
TABLET: Learning From Instructions For Tabular Data
Dylan Slack, Sameer Singh
Acquiring high-quality data is often a significant challenge in training machine learning (ML) models for tabular prediction, particularly in privacy-sensitive and costly domains l…