Papers by Ruchit Rawal

1 papers
Perturbed examples reveal invariances shared by language models (2024.findings-acl)

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Challenge: Rapid growth in natural language processing (NLP) research has led to numerous new models outpacing our understanding of how they compare to established ones.
Approach: They propose a framework to compare two NLP models by revealing their shared invariance to interpretable input perturbations targeting a specific linguistic capability.
Outcome: The proposed framework can shed light on the types of invariances retained or emerging in new models.

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