Merging Verb Senses of Hindi WordNet using Word Embeddings. - Sudha Bhingardive; Ratish Puduppully; Dhirendra Singh; Pushpak Bhattacharyya (ICON, 2014)

Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent. - Anoop Kunchukuttan; Ratish Puduppully; Pushpak Bhattacharyya (HLT-NAACL, 2015)

Transition-Based Syntactic Linearization with Lookahead Features. - Ratish Puduppully; Yue Zhang 004; Manish Shrivastava 001 (HLT-NAACL, 2016)

Transition-Based Deep Input Linearization. - Ratish Puduppully; Yue Zhang 004; Manish Shrivastava 001 (EACL (1), 2017)

Data-to-Text Generation with Content Selection and Planning. - Ratish Puduppully; Li Dong 004; Mirella Lapata (AAAI, 2019)

Data-to-text Generation with Entity Modeling. - Ratish Puduppully; Li Dong 004; Mirella Lapata (ACL (1), 2019)

University of Edinburgh's submission to the Document-level Generation and Translation Shared Task. - Ratish Puduppully; Jonathan Mallinson; Mirella Lapata (NGT@EMNLP-IJCNLP, 2019)

IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2021)

Data-to-text Generation with Macro Planning. - Ratish Puduppully; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2021)

IndicBART: A Pre-trained Model for Indic Natural Language Generation. - Raj Dabre; Himani Shrotriya; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra; Pratyush Kumar (ACL (Findings), 2022)

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. - Aman Kumar; Himani Shrotriya; Prachi Sahu; Amogh Mishra; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Mitesh M. Khapra; Pratyush Kumar (EMNLP, 2022)

IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. - Aman Kumar; Himani Shrotriya; Prachi Sahu; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Amogh Mishra; Mitesh M. Khapra; Pratyush Kumar (CoRR, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Multi-Document Summarization with Centroid-Based Pretraining. - Ratish Puduppully; Mark Steedman (CoRR, 2022)

Data-to-text Generation with Variational Sequential Planning. - Ratish Puduppully; Yao Fu; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2022)

Multi-Document Summarization with Centroid-Based Pretraining. - Ratish Surendran Puduppully; Parag Jain; Nancy Chen; Mark Steedman (ACL (2), 2023)

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

DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. - Ratish Puduppully; Anoop Kunchukuttan; Raj Dabre; Ai Ti Aw; Nancy Chen (EMNLP, 2023)

Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. - Ratish Puduppully; Raj Dabre; Ai Ti Aw; Nancy F. Chen (CoRR, 2023)

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

VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency. - Vernon Toh; Ratish Puduppully; Nancy F. Chen (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)

How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? - Anushka Singh; Ananya Sai; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Mitesh M. Khapra (ACL (Short Papers), 2024)

A Comprehensive Analysis of Adapter Efficiency. - Nandini Mundra; Sumanth Doddapaneni; Raj Dabre; Anoop Kunchukuttan; Ratish Puduppully; Mitesh M. Khapra (COMAD/CODS, 2024)

Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers. - Sukjun Hwang; Aakash Sunil Lahoti; Ratish Puduppully; Tri Dao; Albert Gu (NeurIPS, 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)

An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. - Nandini Mundra; Aditya Nanda Kishore; Raj Dabre; Ratish Puduppully; Anoop Kunchukuttan; Mitesh M. Khapra (CoRR, 2024)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs. - Alan Saji; Jaavid Aktar Husain; Thanmay Jayakumar; Raj Dabre; Anoop Kunchukuttan; Ratish Puduppully (ACL (Findings), 2025)