Chaitanya Agarwal
AI Research/Engineering Leader building in AI and Startups
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Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models
January 1, 2024Introduces EZSwitch, a framework combining Equivalence Constraint Theory (ECT) with LLMs to produce linguistically valid and fluent code-switched text, demonstrating significant improvement over baselines. The research also presents CSPref, a human preference dataset for evaluating code-switched text.
Bilingual Tabular Inference: A Case Study on Indic Languages
January 1, 2022A research paper presented at the 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
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