CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. - Aswanth M.; Ratish Puduppully; Raj Dabre; Anoop Kunchukuttan (EMNLP (Findings), 2023)

In-context Example Selection for Machine Translation Using Multiple Features. - Aswanth Kumar; Anoop Kunchukuttan; Ratish Puduppully; Raj Dabre (CoRR, 2023)

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. - Jay P. Gala; Pranjal A. Chitale; Raghavan AK; Varun Gumma; Sumanth Doddapaneni; Aswanth Kumar M.; Janki Atul Nawale; Anupama Sujatha; Ratish Puduppully; Vivek Raghavan; Pratyush Kumar; Mitesh M. Khapra; et al. (Trans. Mach. Learn. Res., 2023)

RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. - Jaavid Aktar Husain; Raj Dabre; Aswanth M.; Jay Gala; Thanmay Jayakumar; Ratish Puduppully; Anoop Kunchukuttan (ACL (1), 2024)

RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. - Jaavid Aktar Husain; Raj Dabre; Aswanth Kumar; Ratish Puduppully; Anoop Kunchukuttan (CoRR, 2024)

Airavata: Introducing Hindi Instruction-tuned LLM. - Jay P. Gala; Thanmay Jayakumar; Jaavid Aktar Husain; Aswanth Kumar M.; Mohammed Safi Ur Rahman Khan; Diptesh Kanojia; Ratish Puduppully; Mitesh M. Khapra; Raj Dabre; V. Rudra Murthy; Anoop Kunchukuttan (CoRR, 2024)