| The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 109 | 2021 |
| A survey of code-switched speech and language processing S Sitaram, KR Chandu, SK Rallabandi, AW Black arXiv preprint arXiv:1904.00784, 2019 | 100 | 2019 |
| " Answer ka type kya he?" Learning to Classify Questions in Code-Mixed Language KC Raghavi, MK Chinnakotla, M Shrivastava Proceedings of the 24th International Conference on World Wide Web, 853-858, 2015 | 72 | 2015 |
| Grounding'Grounding'in NLP KR Chandu, Y Bisk, AW Black arXiv preprint arXiv:2106.02192, 2021 | 36 | 2021 |
| Code-mixed question answering challenge: Crowd-sourcing data and techniques K Chandu, E Loginova, V Gupta, J Genabith, G Neumann, M Chinnakotla, ... Third Workshop on Computational Approaches to Linguistic Code-Switching, 29-38, 2019 | 36 | 2019 |
| " My Way of Telling a Story": Persona based Grounded Story Generation S Prabhumoye, KR Chandu, R Salakhutdinov, AW Black arXiv preprint arXiv:1906.06401, 2019 | 29 | 2019 |
| Tackling biomedical text summarization: Oaqa at bioasq 5b K Chandu, A Naik, A Chandrasekar, Z Yang, N Gupta, E Nyberg BioNLP 2017, 58-66, 2017 | 25 | 2017 |
| Language informed modeling of code-switched text K Chandu, T Manzini, S Singh, AW Black Proceedings of the Third Workshop on Computational Approaches to Linguistic …, 2018 | 24 | 2018 |
| Storyboarding of recipes: grounded contextual generation KR Chandu, E Nyberg, A Black | 22 | 2019 |
| WebShodh: A Code Mixed Factoid Question Answering System for Web KR Chandu, M Chinnakotla, AW Black, M Shrivastava Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 22 | 2017 |
| Speech Synthesis for Mixed-Language Navigation Instructions. KR Chandu, SK Rallabandi, S Sitaram, AW Black INTERSPEECH, 57-61, 2017 | 18 | 2017 |
| Comparative Analysis of Neural QA models on SQuAD S Wadhwa, KR Chandu, E Nyberg Association for Computational Linguistics, 89–97, 2018 | 17 | 2018 |
| How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources Y Wang, H Ivison, P Dasigi, J Hessel, T Khot, KR Chandu, D Wadden, ... arXiv preprint arXiv:2306.04751, 2023 | 15 | 2023 |
| Black. 2019. Storyboarding of recipes: Grounded contextual generation K Chandu, E Nyberg, W Alan Proceedings of the 57th Annual Meeting of the Association for Computational …, 0 | 10 | |
| Style variation as a vantage point for code-switching KR Chandu, AW Black arXiv preprint arXiv:2005.00458, 2020 | 7 | 2020 |
| Textually enriched neural module networks for visual question answering KR Chandu, MA Pyreddy, M Felix, NN Joshi arXiv preprint arXiv:1809.08697, 2018 | 7 | 2018 |
| Tackling code-switched NER: Participation of cmu P Geetha, K Chandu, AW Black Proceedings of the Third Workshop on Computational Approaches to Linguistic …, 2018 | 7 | 2018 |
| Building cmu magnus from user feedback S Prabhumoye, F Botros, K Chandu, S Choudhary, E Keni, C Malaviya, ... Alexa Prize Proceedings, 2017 | 6 | 2017 |
| A survey of code switching speech and language processing S Sitaram, KR Chandu, SK Rallabandi, AW Black arXiv preprint arXiv:1904.00784, 2019 | 5 | 2019 |
| Ontology-based retrieval & neural approaches for BioASQ ideal answer generation AN Kumar, H Kesavamoorthy, M Das, P Kalwad, K Chandu, T Mitamura, ... Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical …, 2018 | 5 | 2018 |
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
