A Telugu-language evaluation model designed to evaluate multilingual Large Language Models by scoring outputs against English reference responses.
Hercule-te is a Telugu-language evaluation model developed within the CIA Suite to assess multilingual Large Language Models (LLMs). By leveraging English reference responses, it evaluates Telugu outputs, ensuring accurate scoring and alignment with human evaluations. The model is fine-tuned using the INTEL dataset and supports zero-shot evaluations for unseen languages. It provides feedback with scores ranging from 1 to 5, and integration is facilitated through wrapper functions and classes available in the associated GitHub repository.
MIT
Sumanth Doddapaneni and Mohammed Safi Ur Rahman Khan and Dilip Venkatesh and Raj Dabre and Anoop Kunchukuttan and Mitesh M. Khapra
Evaluator Language model
N.A.
Open
Sector Agnostic
21/02/25 13:21:01
0
MIT
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