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Dataset · Hugging Face

inverse-scaling/redefine-math

redefine-math (Xudong Shen) General description In this task, the author tests whether language models are able to work with common symbols when they are redefined to mean something else. The author finds that larger models are more likely to pick the answer corresponding to the original definition rather than the redefined meaning, relative to smaller models. This task demonstrates that it is difficult for language models to work with new information given at… See the full description on the dataset page: https://huggingface.co/datasets/inverse-scaling/redefine-math.

Author / organizationinverse-scaling
License (as declared)cc-by-sa-4.0
Downloads173 (as reported by Hugging Face)
Likes2
Created8 October 2022
Last updated at source8 October 2022
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  • 16 Oct 2026 Description: redefine-math (Xudong Shen) General description In this task, the author tests whether language models are able to work with common symbols when they are redefined to mean something else. The author finds that larger models are more likely → redefine-math (Xudong Shen) General description In this task, the author tests whether language models are able to work with common symbols when they are redefined to mean something else. The author finds that larger models are more likely

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