Papers by Nikhil Muralidhar

2 papers
Laying Anchors: Semantically Priming Numerals in Language Modeling (2024.findings-naacl)

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Challenge: Numeracy is the comprehension of numbers, and numerals are important for comprehension.
Approach: They propose methods to semantically prime numerals by generating anchors governed by the distribution of numeral in any corpus.
Outcome: The proposed methods perform better on numeracy tasks for both in-domain and out-domain numerals.
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency (2023.acl-long)

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Challenge: Numeracy is the most prevalent form of non-linguistic information embedded in textual corpora.
Approach: They propose a framework for non-linguistic skill injection for LLMs that incorporates information-theoretic interventions and skill-specific losses to enable the learning of strict arithmetic reasoning.
Outcome: The proposed model outperforms the state-of-the-art on injected non-linguistic skills and on linguistic knowledge retention with a fraction of the non-language training data (1/4) and zero additional synthetic linguistic training data.

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