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Anirudh Khatry

2 accepted papers

2025

An empirical study of validating synthetic data for formula generation

NAACL 2025findings

Large language models (LLMs) can be leveraged to help write formulas in spreadsheets, but formula data resources are scarce, impacting both the base performance of pre-trained models and limiting the ability to fine-tune them. Given a corpus of formulas, we can use another model to generate syntheti…

Cited by 2SourcePDFScholar
2023

TSTR: Target Similarity Tuning Meets the Real World

EMNLP 2023short findings

Target similarity tuning (TST) is a method of selecting relevant examples in natural language (NL) to code generation through large language models (LLMs) to improve performance. Its goal is to adapt a sentence embedding model to have the similarity between two NL inputs match the similarity between…

Cited by 0SourceScholar