Ratish Puduppully

According to our database, Ratish Puduppully authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

A Comprehensive Analysis of Adapter Efficiency.

Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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, Raj Dabre, Anoop Kunchukuttan

Trans. Mach. Learn. Res., 2023

VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency.

Vernon Toh, Ratish Puduppully, 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

Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models.

Ratish Puduppully, Raj Dabre, Ai Ti Aw, Nancy F. Chen

CoRR, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation.

Aswanth M., Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Document Summarization with Centroid-Based Pretraining.

Ratish Surendran Puduppully, Parag Jain, Nancy Chen, Mark Steedman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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 Puduppully, Mark Steedman

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, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 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

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

IndicBART: A Pre-trained Model for Indic Natural Language Generation.

Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Data-to-text Generation with Macro Planning.

Ratish Puduppully, Mirella Lapata

Trans. Assoc. Comput. Linguistics, 2021

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

2019

University of Edinburgh's submission to the Document-level Generation and Translation Shared Task.

Ratish Puduppully, Jonathan Mallinson, Mirella Lapata

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Data-to-text Generation with Entity Modeling.

Ratish Puduppully, Li Dong, Mirella Lapata

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Data-to-Text Generation with Content Selection and Planning.

Ratish Puduppully, Li Dong, Mirella Lapata

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Transition-Based Deep Input Linearization.

Ratish Puduppully, Yue Zhang, Manish Shrivastava

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Transition-Based Syntactic Linearization with Lookahead Features.

Ratish Puduppully, Yue Zhang, Manish Shrivastava

Proceedings of the NAACL HLT 2016, 2016

2015

Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent.

Anoop Kunchukuttan, Ratish Puduppully, Pushpak Bhattacharyya

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Merging Verb Senses of Hindi WordNet using Word Embeddings.

Sudha Bhingardive, Ratish Puduppully, Dhirendra Singh, Pushpak Bhattacharyya

Proceedings of the 11th International Conference on Natural Language Processing, 2014