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Ratish Puduppully
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2020 – today
- 2024
- [c15]Anushka Singh, Ananya Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra:
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? ACL (Short Papers) 2024: 640-649 - [c14]Jaavid Aktar Husain, Raj Dabre, Aswanth M., Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan:
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. ACL (1) 2024: 15593-15615 - [c13]Nandini Mundra
, Sumanth Doddapaneni
A Comprehensive Analysis of Adapter Efficiency. COMAD/CODS 2024: 136-154 - [i18]Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Ratish Puduppully, Anoop Kunchukuttan:
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models models via Romanization. CoRR abs/2401.14280 (2024) - [i17]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 abs/2401.15006 (2024) - [i16]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 abs/2406.03893 (2024) - [i15]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 abs/2407.05841 (2024) - 2023
- [j3]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) - [c12]Ratish Surendran Puduppully, Parag Jain, Nancy Chen, Mark Steedman:
Multi-Document Summarization with Centroid-Based Pretraining. ACL (2) 2023: 128-138 - [c11]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: 4586-4602 - [c10]Aswanth M., Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan:
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. EMNLP (Findings) 2023: 7736-7752 - [i14]Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra:
A Comprehensive Analysis of Adapter Efficiency. CoRR abs/2305.07491 (2023) - [i13]Ratish Puduppully, Raj Dabre, Ai Ti Aw, Nancy F. Chen
Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. CoRR abs/2305.13085 (2023) - [i12]Aswanth Kumar, Anoop Kunchukuttan, Ratish Puduppully, Raj Dabre:
In-context Example Selection for Machine Translation Using Multiple Features. CoRR abs/2305.14105 (2023) - [i11]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 abs/2305.16307 (2023) - [i10]Vernon Toh, Ratish Puduppully, Nancy F. Chen:
VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency. CoRR abs/2311.07172 (2023) - 2022
- [j2]Ratish Puduppully, Yao Fu, Mirella Lapata:
Data-to-text Generation with Variational Sequential Planning. Trans. Assoc. Comput. Linguistics 10: 697-715 (2022) - [c9]Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar:
IndicBART: A Pre-trained Model for Indic Natural Language Generation. ACL (Findings) 2022: 1849-1863 - [c8]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: 5363-5394 - [i9]Ratish Puduppully, Yao Fu, Mirella Lapata:
Data-to-text Generation with Variational Sequential Planning. CoRR abs/2202.13756 (2022) - [i8]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 abs/2203.05437 (2022) - [i7]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
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i6]Ratish Puduppully, Mark Steedman:
Multi-Document Summarization with Centroid-Based Pretraining. CoRR abs/2208.01006 (2022) - 2021
- [j1]Ratish Puduppully, Mirella Lapata:
Data-to-text Generation with Macro Planning. Trans. Assoc. Comput. Linguistics 9: 510-527 (2021) - [i5]Ratish Puduppully, Mirella Lapata:
Data-to-text Generation with Macro Planning. CoRR abs/2102.02723 (2021) - [i4]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 abs/2109.02903 (2021)
2010 – 2019
- 2019
- [c7]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. AAAI 2019: 6908-6915 - [c6]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-text Generation with Entity Modeling. ACL (1) 2019: 2023-2035 - [c5]Ratish Puduppully, Jonathan Mallinson, Mirella Lapata:
University of Edinburgh's submission to the Document-level Generation and Translation Shared Task. NGT@EMNLP-IJCNLP 2019: 268-272 - [i3]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-text Generation with Entity Modeling. CoRR abs/1906.03221 (2019) - [i2]Ratish Puduppully, Yue Zhang, Manish Shrivastava:
Transition-Based Deep Input Linearization. CoRR abs/1911.02808 (2019) - 2018
- [i1]Ratish Puduppully, Li Dong, Mirella Lapata:
Data-to-Text Generation with Content Selection and Planning. CoRR abs/1809.00582 (2018) - 2017
- [c4]Ratish Puduppully, Yue Zhang, Manish Shrivastava
Transition-Based Deep Input Linearization. EACL (1) 2017: 643-654 - 2016
- [c3]Ratish Puduppully, Yue Zhang, Manish Shrivastava
Transition-Based Syntactic Linearization with Lookahead Features. HLT-NAACL 2016: 488-493 - 2015
- [c2]Anoop Kunchukuttan, Ratish Puduppully, Pushpak Bhattacharyya:
Brahmi-Net: A transliteration and script conversion system for languages of the Indian subcontinent. HLT-NAACL 2015: 81-85 - 2014
- [c1]Sudha Bhingardive, Ratish Puduppully, Dhirendra Singh, Pushpak Bhattacharyya:
Merging Verb Senses of Hindi WordNet using Word Embeddings. ICON 2014: 344-352
Coauthor Index
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