Papers by Keshav Ramji

1 papers
Inductive Linguistic Reasoning with Large Language Models (2025.findings-acl)

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Challenge: Evaluating large language models (LLMs) on their linguistic reasoning capabilities is an important task to understand the gaps in their skills that may surface during large-scale adoption.
Approach: They propose to generate analogical exemplars with a language model and apply them in-context with target language exemplar.
Outcome: The proposed method can be applied to other tasks present in Linguistics Olympiad competitions and achieves state-of-the-art results across nearly all problem types and difficulty levels in the LINGOLY dataset.

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