Ratish Puduppully
Ratish Puduppully has 4 papers in our library, in 2019–2023, most of them on Text generation, Machine translation; often with Mirella Lapata, Pratyush Kumar, Anoop Kunchukuttan.
OpenAlex · ORCID · h-index 13 · 57 works · 787 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 395 citations in our library · 4 more in our library without a page yet · ⭐ Paper Star rank #2999
Affiliations
🎓IT University of CopenhagenCopenhagen ·
Denmark2024–2026 · 11 papers🎓University of EdinburghEdinburgh ·
United Kingdom2019–2023 · 14 papers🔬Institute for Infocomm ResearchSingapore ·
Singapore2023–2024 · 10 papers🏛️Agency for Science, Technology and ResearchSingapore ·
Singapore2022–2024 · 8 papers🎓International Institute of Information Technology, HyderabadHyderabad ·
India2015–2019 · 4 papers🎓Indian Institute of Technology MadrasChennai ·
India2022–2023 · 3 papers🏢CNRS@CREATE LtdSingapore ·
Singapore2023 · 2 papers🎓Singapore University of Technology and DesignSingapore ·
Singapore2016–2017 · 2 papers🎓Indian Institute of Technology BombayMumbai ·
India2014–2015 · 2 papers
Concepts, shelves and topics
📚 Shelves 5 Arts and Humanities · 4 works Computer Science · 4 works Artificial Intelligence · 4 works Language and Linguistics · 4 works Computer Vision and Pattern Recognition · 2 works
🧭 Topics 2 Text generation · 3 works Machine translation · 1 work
Works by year
2020s
2010s
Papers
- IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages (2023 · 200 citations)
India's 22 scheduled languages have been poorly served by machine translation. Before this work, no public parallel data covered all of them, no benchmark spanned all 22 with India-relevant material, and no open or commercial model supported the full set. The authors address this on four fronts: training data… - Data-to-text Generation with Entity Modeling (2019 · 180 citations)
Neural encoder-decoder systems that turn structured tables into text usually handle entities such as players and teams as ordinary vocabulary items. - IndicBART: A Pre-trained Model for Indic Natural Language Generation (2022 · 141 citations)
Large multilingual generation models such as mBART50 and mT5 cover Indic languages poorly. Their training data is dominated by high-resource languages, their vocabularies give small languages little room, and they are costly to fine-tune and run. The authors instead build IndicBART, a compact mBART-style… - Data-to-text Generation with Macro Planning (2021 · 98 citations)
Neural encoder-decoder systems for data-to-text generation write fluent prose. However, they often hallucinate facts, select content poorly and order it incoherently, and these problems worsen in long, multi-paragraph outputs such as sports reports. Puduppully and Lapata revisit the classic pipeline idea of…
All works
- IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian LanguagesJay Gala, Pranjal A. Chitale, Raghavan AK, et al.arXiv:2305.16307 · 200 citations
- Data-to-text Generation with Entity ModelingRatish Puduppully, Li Dong, Mirella LapataAnnual Meeting of the Association for… · 180 citations
- IndicBART: A Pre-trained Model for Indic Natural Language GenerationRaj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.Findings of the Association for Computational… · 141 citations
- Data-to-text Generation with Macro PlanningRatish Puduppully, Mirella LapataTransactions of the Association for… · 98 citations
- Airavata: Introducing Hindi Instruction-tuned LLM (original ↗)Jay Gala et al.2024 · arXiv:2401.15006 · 31 citations · no summary yet
- Transition-Based Syntactic Linearization with Lookahead Features (original ↗)Ratish Puduppully, Yue Zhang, Manish Shrivastava2016 · Proceedings of the 2016 Conference of the North… · 30 citations · no summary yet
- How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? (original ↗)Anushka Singh et al.2024 · Proceedings of the 62nd Annual Meeting of the… · 15 citations · no summary yet
- The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI (original ↗)Alan Saji et al.2026 · Proceedings of the 19th Conference of the… · 3 citations · no summary yet
Co-authors here
- Mirella Lapata ×2
- Pratyush Kumar ×2
- Anoop Kunchukuttan
- Jay Gala
- Li Dong
- Mitesh M. Khapra
- Raghavan AK
- Raj Dabre
- Sumanth Doddapaneni
- Varun Gumma
Venues
- Annual Meeting of the Association for Computational… ×2: 2019
- Findings of the Association for Computational Linguistics: 2022
- Transactions of the Association for Computational…: 2021
- Proceedings of the 19th Conference of the European Chapter…
- Proceedings of the 2016 Conference of the North American…
Cited by
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