2.7k citations · 6.8k across the 64 of their papers we have counts for
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A Systematic Investigation of Commonsense Knowledge in Large Language Models
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann +3
Language models (LMs) trained on large amounts of data have shown impressive performance on many NLP tasks under the zero-shot and few-shot setup. Here we aim to better understand…
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Qi Liu, Lei Yu, Laura Rimell +1
Direct decoding for task-oriented dialogue is known to suffer from the explaining-away effect, manifested in models that prefer short and generic responses. Here we argue for the u…
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya +11
Our world is open-ended, non-stationary, and constantly evolving; thus what we talk about and how we talk about it change over time. This inherent dynamic nature of language contra…