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ORCIDKhyathi Raghavi Chandu
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2020 – today
- 2023
[c19]Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc:
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization. ACL (1) 2023: 14944-14982- [c18]Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi:
LOWRECORP: the Low-Resource NLG Corpus Building Challenge. INLG (Generation Challenges) 2023: 1-9 - [i20]Khyathi Raghavi Chandu, Alborz Geramifard:
Curriculum Script Distillation for Multilingual Visual Question Answering. CoRR abs/2301.07227 (2023) - [i19]Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Raghavi Chandu, Satwik Kottur, Jing Xu, Jonathan May, Chinnadhurai Sankar:
Continual Dialogue State Tracking via Example-Guided Question Answering. CoRR abs/2305.13721 (2023) - [i18]Yizhong Wang, Hamish Ivison, Pradeep Dasigi, Jack Hessel, Tushar Khot, Khyathi Raghavi Chandu, David Wadden, Kelsey MacMillan, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi:
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources. CoRR abs/2306.04751 (2023) - [i17]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR abs/2311.09605 (2023) - 2022
- [c17]Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut:
Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models. COLING 2022: 6089-6104 - [i16]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 abs/2206.11249 (2022) - [i15]Khyathi Raghavi Chandu, Alborz Geramifard:
Multilingual Multimodality: A Taxonomical Survey of Datasets, Techniques, Challenges and Opportunities. CoRR abs/2210.16960 (2022) - [i14]Lining Zhang, João Sedoc, Simon Mille, Yufang Hou, Sebastian Gehrmann, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Miruna Clinciu, Saad Mahamood, Khyathi Raghavi Chandu:
Needle in a Haystack: An Analysis of Finding Qualified Workers on MTurk for Summarization. CoRR abs/2212.10397 (2022) - 2021
- [c16]Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black:
Grounding 'Grounding' in NLP. ACL/IJCNLP (Findings) 2021: 4283-4305 - [c15]Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black:
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing. CALCS@NAACL 2021: 113-118 - [c14]Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu:
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. EMNLP (Findings) 2021: 4389-4397 - [i13]Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i12]Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black:
Grounding 'Grounding' in NLP. CoRR abs/2106.02192 (2021) - [i11]Sai Muralidhar Jayanthi, Kavya Nerella, Khyathi Raghavi Chandu, Alan W. Black:
CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing. CoRR abs/2106.06004 (2021) - [i10]Parul Chopra, Sai Krishna Rallabandi, Alan W. Black, Khyathi Raghavi Chandu:
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-Switching. CoRR abs/2111.01231 (2021) - 2020
- [c13]Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black:
Reading Between the Lines: Exploring Infilling in Visual Narratives. EMNLP (1) 2020: 1220-1229 - [c12]Khyathi Raghavi Chandu, Alan W. Black:
Style Variation as a Vantage Point for Code-Switching. INTERSPEECH 2020: 4761-4765 - [i9]Khyathi Raghavi Chandu, Alan W. Black:
Style Variation as a Vantage Point for Code-Switching. CoRR abs/2005.00458 (2020) - [i8]Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut:
Weakly Supervised Content Selection for Improved Image Captioning. CoRR abs/2009.05175 (2020) - [i7]Khyathi Raghavi Chandu, Alan W. Black:
Dissecting the components and factors of Neural Text Generation. CoRR abs/2010.07279 (2020) - [i6]Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan W. Black:
Reading Between the Lines: Exploring Infilling in Visual Narratives. CoRR abs/2010.13944 (2020)
2010 – 2019
- 2019
- [c11]Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black:
Storyboarding of Recipes: Grounded Contextual Generation. ACL (1) 2019: 6040-6046 - [c10]Khyathi Raghavi Chandu, Eric Nyberg, Alan W. Black:
Storyboarding of Recipes: Grounded Contextual Generation. DGS@ICLR 2019 - [i5]Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W. Black:
A Survey of Code-switched Speech and Language Processing. CoRR abs/1904.00784 (2019) - [i4]Shrimai Prabhumoye, Khyathi Raghavi Chandu, Ruslan Salakhutdinov, Alan W. Black:
"My Way of Telling a Story": Persona based Grounded Story Generation. CoRR abs/1906.06401 (2019) - [i3]Ruo-Ping Dong, Khyathi Raghavi Chandu, Alan W. Black:
Induction and Reference of Entities in a Visual Story. CoRR abs/1909.09699 (2019) - 2018
- [c9]Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg:
Comparative Analysis of Neural QA models on SQuAD. QA@ACL 2018: 89-97 - [c8]Khyathi Raghavi Chandu, Ekaterina Loginova, Vishal Gupta, Josef van Genabith, Günter Neumann, Manoj Kumar Chinnakotla, Eric Nyberg, Alan W. Black:
Code-Mixed Question Answering Challenge: Crowd-sourcing Data and Techniques. CodeSwitch@ACL 2018: 29-38 - [c7]Khyathi Raghavi Chandu, Thomas Manzini, Sumeet Singh, Alan W. Black:
Language Informed Modeling of Code-Switched Text. CodeSwitch@ACL 2018: 92-97 - [c6]Parvathy Geetha, Khyathi Raghavi Chandu, Alan W. Black:
Tackling Code-Switched NER: Participation of CMU. CodeSwitch@ACL 2018: 126-131 - [i2]Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg:
Comparative Analysis of Neural QA models on SQuAD. CoRR abs/1806.06972 (2018) - [i1]Khyathi Raghavi Chandu, Mary Arpita Pyreddy, Matthieu Felix, Narendra Nath Joshi:
Textually Enriched Neural Module Networks for Visual Question Answering. CoRR abs/1809.08697 (2018) - 2017
- [c5]Khyathi Raghavi Chandu, Aakanksha Naik, Aditya Chandrasekar, Zi Yang, Niloy Gupta, Eric Nyberg:
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B. BioNLP 2017: 58-66 - [c4]Khyathi Raghavi Chandu, Manoj Kumar Chinnakotla, Alan W. Black, Manish Shrivastava:
WebShodh: A Code Mixed Factoid Question Answering System for Web. CLEF 2017: 104-111 - [c3]Divya Sai Jitta, Khyathi Raghavi Chandu, Harsha Pamidipalli, Radhika Mamidi:
"nee intention enti?" towards dialog act recognition in code-mixed conversations. IALP 2017: 243-246 - [c2]Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W. Black:
Speech Synthesis for Mixed-Language Navigation Instructions. INTERSPEECH 2017: 57-61 - 2015
- [c1]Khyathi Chandu Raghavi, Manoj Kumar Chinnakotla, Manish Shrivastava:
"Answer ka type kya he?": Learning to Classify Questions in Code-Mixed Language. WWW (Companion Volume) 2015: 853-858
Coauthor Index
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last updated on 2023-11-22 22:56 CET by the dblp team
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