Ratish Puduppully

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Multiple Features

Comprehensive Analysis

Machine Translation

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

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
Airavata: Introducing Hindi Instruction-tuned LLM. CoRR (2024)
Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS (2024)
Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? CoRR (2024)
Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Ratish Puduppully, Anoop Kunchukuttan
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. CoRR (2024)
Nandini Mundra, Aditya Nanda Kishore, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra
An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models. CoRR (2024)
Ratish Puduppully, Raj Dabre, Ai Ti Aw, Nancy F. Chen
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. CoRR (2023)
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
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. Trans. Mach. Learn. Res. 2023 (2023)
Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra
A Comprehensive Analysis of Adapter Efficiency. CoRR (2023)
AI4Bharat, Jay P. Gala, Pranjal A. Chitale, Raghavan AK, Sumanth Doddapaneni, Varun Gumma, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. CoRR (2023)
Aswanth M, Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. EMNLP (Findings) (2023)
Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen
DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. EMNLP (2023)
Aswanth Kumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre
In-context Example Selection for Machine Translation Using Multiple Features. CoRR (2023)
Vernon Toh, Ratish Puduppully, Nancy F. Chen
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency. CoRR (2023)
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
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR (2022)
Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar
IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. CoRR (2022)
Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh Khapra, Pratyush Kumar
IndicBART: A Pre-trained Model for Indic Natural Language Generation. ACL (Findings) (2022)
Aman Kumar, Himani Shrotriya, Prachi Sahu, Amogh Mishra, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra, Pratyush Kumar
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. EMNLP (2022)
Ratish Puduppully, Yao Fu, Mirella Lapata
Data-to-text Generation with Variational Sequential Planning. Trans. Assoc. Comput. Linguistics 10 (2022)
Ratish Puduppully, Yao Fu, Mirella Lapata
Data-to-text Generation with Variational Sequential Planning. CoRR (2022)
Ratish Puduppully, Mark Steedman
Multi-Document Summarization with Centroid-Based Pretraining. CoRR (2022)
Ratish Puduppully, Mirella Lapata
Data-to-text Generation with Macro Planning. CoRR (2021)
Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar
IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. CoRR (2021)
Ratish Puduppully, Mirella Lapata
Data-to-text Generation with Macro Planning. Trans. Assoc. Comput. Linguistics 9 (2021)
Ratish Puduppully, Li Dong, Mirella Lapata
Data-to-text Generation with Entity Modeling. ACL (1) (2019)
Ratish Puduppully, Li Dong, Mirella Lapata
Data-to-text Generation with Entity Modeling. CoRR (2019)
Ratish Puduppully, Li Dong, Mirella Lapata
Data-to-Text Generation with Content Selection and Planning. AAAI (2019)
Ratish Puduppully, Yue Zhang, Manish Shrivastava
Transition-Based Deep Input Linearization. CoRR (2019)
Ratish Puduppully, Jonathan Mallinson, Mirella Lapata
University of Edinburgh's submission to the Document-level Generation and Translation Shared Task. NGT@EMNLP-IJCNLP (2019)
Ratish Puduppully, Li Dong, Mirella Lapata
Data-to-Text Generation with Content Selection and Planning. CoRR (2018)
Ratish Puduppully, Yue Zhang, Manish Shrivastava
Transition-Based Deep Input Linearization. EACL (1) (2017)
Ratish Puduppully, Yue Zhang, Manish Shrivastava
Transition-Based Syntactic Linearization with Lookahead Features. HLT-NAACL (2016)
Anoop Kunchukuttan, Ratish Puduppully, Pushpak Bhattacharyya
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent. HLT-NAACL (2015)
Sudha Bhingardive, Ratish Puduppully, Dhirendra Singh, Pushpak Bhattacharyya
Merging Verb Senses of Hindi WordNet using Word Embeddings. ICON (2014)