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Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
12 January 2024
Kanishka Misra
Allyson Ettinger
Kyle Mahowald
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Papers citing
"Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently"
4 / 4 papers shown
Title
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
Michael Hanna
Ollie Liu
Alexandre Variengien
LRM
184
116
0
30 Apr 2023
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
210
486
0
01 Nov 2022
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella J. Sinclair
Jaap Jumelet
Willem H. Zuidema
Raquel Fernández
49
37
0
30 Sep 2021
Sorting through the noise: Testing robustness of information processing in pre-trained language models
Lalchand Pandia
Allyson Ettinger
34
37
0
25 Sep 2021
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