558 citations · 3.6k across the 65 of their papers we have counts for
Showing 2022 · cs.CLShow all
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cs.CL2022★ 48 cited
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns, Haotian Ye, Dan Klein +1
Existing techniques for training language models can be misaligned with the truth: if we train models with imitation learning, they may reproduce errors that humans make; if we tra…
cs.CL2022★ 36 cited
Capturing Failures of Large Language Models via Human Cognitive Biases
Erik Jones, Jacob Steinhardt
Large language models generate complex, open-ended outputs: instead of outputting a class label they write summaries, generate dialogue, or produce working code. In order to asses…
cs.CL2022★ 8 cited
Describing Differences between Text Distributions with Natural Language
Ruiqi Zhong, Charlie Snell, Dan Klein +1
How do two distributions of texts differ? Humans are slow at answering this, since discovering patterns might require tediously reading through hundreds of samples. We propose to a…