Chaitanya Agarwal
AI Research/Engineering Leader building in AI and Startups
Hyderabad, India
Joined January 2025
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Summary
Chaitanya Agarwal is a dedicated AI researcher and engineer with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). His work includes developing frameworks for code-switched text generation, exploring bilingual tabular inference, and focusing on practical applications like red-teaming LLMs to address ethical concerns and improve model safety. google+3
His professional journey spans both established companies and startups, highlighting his entrepreneurial spirit and commitment to advancing AI technology. He has held roles as an AI Advisor at Impact Solutions Lab, a Fractional CAIO/CTO, and a Founding Member at Deccan AI, where he contributes to significant AI research initiatives. luma
Work
Education
Writing
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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