71 citations · 143 across the 7 of their papers we have counts for
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cs.CL2021★ 1 cited
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson, Ashish Sabharwal
Investigating the reasoning abilities of transformer models, and discovering new challenging tasks for them, has been a topic of much interest. Recent studies have found these mode…
cs.CL2021★ 1 cited
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts
Daniel Khashabi, Shane Lyu, Sewon Min +8
Fine-tuning continuous prompts for target tasks has recently emerged as a compact alternative to full model fine-tuning. Motivated by these promising results, we investigate the fe…