CV

Education

  • Ph.D. September 2017 - Nov 2021. University of Edinburgh.
  • M.S by Research in Computer Science. 2017. IIIT Hyderabad.
  • B.E. 2005. K.J. Somaiya College of Engineering, Mumbai University.

Papers

Refereed journal papers

  • AI4Bharat, Jay 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. 2023. IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages. In Transactions of Machine Learning Research (TMLR) (to appear).
  • Ratish Puduppully and Yao Fu and Mirella Lapata. 2022. Data-to-text Generation with Variational Sequential Planning.. In Transactions of the Association for Computational Linguistics (TACL).
  • Ratish Puduppully and Mirella Lapata. 2021. Data-to-text Generation with Macro Planning.. In Transactions of the Association for Computational Linguistics (TACL).

Refereed conference papers

  • Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar, Ratish Puduppully, Anoop Kunchukuttan. 2024. RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (to appear).
  • Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M. Khapra. 2024. How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages? In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Short Papers) (to appear).
  • Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy F. Chen. 2023. Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models. In Proceedings of EMNLP.
  • Aswanth Kumar, Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan. 2023. CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation. In Findings of EMNLP.
  • Nandini Mundra, Sumanth Doddapaneni, Raj Dabre, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M Khapra. 2023. A Comprehensive Analysis of Adapter Efficiency. In
  • Ratish Surendran Puduppully, Parag Jain, Nancy Chen, Mark Steedman. 2023. Multi-Document Summarization with Centroid-Based Pretraining. In Proceedings of ACL.
  • Aman Kumar, Himani Shrotriya, Prachi Sahu, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Amogh Mishra, Mitesh M. Khapra, Pratyush Kumar. 2022. IndicNLG Suite: Multilingual Datasets for Diverse NLG Tasks in Indic Languages. In Proceedings of EMNLP.
  • Raj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully, Mitesh M. Khapra, Pratyush Kumar. 2022. IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages. In Findings of ACL.
  • Ratish Puduppully, Li Dong, Mirella Lapata. 2019. Data-to-text Generation with Entity Modeling.. In Proceedings of ACL.
  • Ratish Puduppully, Li Dong, Mirella Lapata. 2019. Data-to-Text Generation with Content Selection and Planning. In Proceedings of AAAI.
  • Ratish Puduppully, Yue Zhang and Manish Shrivastava. 2017. Transition-Based Deep Input Linearization. In Proceedings of EACL.
  • Ratish Puduppully, Yue Zhang and Manish Shrivastava. 2016. Transition-Based Syntactic Linearization with Lookahead Features. In Proceedings of NAACL.
  • Sudha Bhingardive, Ratish Puduppully, Dhirendra Singh and Pushpak Bhattacharyya. 2014. Merging Verb Senses of Hindi WordNet using Word Embeddings. In Proceedings of International Conference on Natural Language Processing (ICON).

Refereed workshop and demonstration papers

  • Vernon Toh, Ratish Puduppully, Nancy F. Chen. 2024. VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit Consistency. In AI4Math Workshop at ICML.
  • Ratish Puduppully, Jonathan Mallinson, Mirella Lapata. 2019. University of Edinburgh's submission to the Document-level Generation and Translation Shared Task.. In Proceedings of Workshop on Neural Generation and Translation, EMNLP.
  • Anoop Kunchukuttan*, Ratish Puduppully* and Pushpak Bhattacharyya. 2015. Brahmi-Net - An online system for transliteration and script conversion for Indian languages. In Proceedings of NAACL-HLT Demonstrations.
  • Anoop Kunchukuttan, Ratish Puduppully, Rajen Chatterjee, Abhijit Mishra, Pushpak Bhattacharyya. 2014. The IIT Bombay SMT System for ICON 2014 Tools Contest. In Proceedings of International Conference on Natural Language Processing (ICON) Tools Contest.

Patents

Patents

  • Ben Willis, Sunil Natraj, Abhijeet Shinde, Tarun Agarwal, Ratish Puduppully, Santhi Swaroop Pulagala, Shu-Hua Chang. 2016. Method and system of sharing content. In US Patent 9,256,695.

Awards

  • Global Research Scholarship. 2017. For PhD studies at University of Edinburgh.
  • Microsoft Travel Grant. 2016. For presenting work at NAACL 2016.

Teaching

University courses

  • Tutor, Demonstrator and Marker for Natural Language Understanding, Generation, and Machine Translation. 2021.
  • Tutor for Accelerated Natural Language Processing. 2018.

Mentoring Experience

  • Jaavid Akhtar. Research Intern at IIT Madras on "RomanSetu- Efficiently unlocking multilingual capabilities of Large Language Models via Romanization" (2023).
  • Nandini Mundhra. M.S. by Research student from IIT Madras on "A Comprehensive Analysis of Adapter Efficiency" (2023).
  • Aswanth Kumar. MTech student from IIT Madras on "In-context Example Selection for Machine Translation Using Multiple Features" (2023).
  • Yuting Tang. Undergraduate student from NTU Singapore on LLM evaluation (2023).
  • Vernon Toh. Undergraduate student from SUTD Singapore on Math Language Models (2023).
  • Himani Shrotriya, Aman Kumar, and Prachi Sahu. MTech students from IIT Madras on the project "IndicNLG Benchmark- Multilingual Datasets for Diverse NLG Tasks in Indic Languages" (2022).

Volunteering

  • Digital Ambassador at University of Edinburgh. Volunteer as a Digital Ambassador to help improve digital literacy amongst people, mainly elderly persons in community.

Research Positions

  • Intern in the Summarization team. Jun 2019–Oct 2019. Google Research, London.
  • Research Assistant. Mar 2017–Aug 2017. SUTD NLP Lab, Singapore.
  • Research Engineer. May 2014–Dec 2014. IIT Bombay NLP Lab.

Engineering Positions

  • Technical Architect. 2008–2014. Saba Software.
  • Software Engineer. 2005–2008. Infosys Technologies Ltd.