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ORCIDPriyanka Agrawal
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2020 – today
- 2024
[c10]Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata:
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. EACL (1) 2024: 2146-2163- [i13]Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer:
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR abs/2404.04817 (2024) - [i12]Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti:
DOLOMITES: Domain-Specific Long-Form Methodical Tasks. CoRR abs/2405.05938 (2024) - 2023
- [j4]Rajesh Tiwari
, Priyanka Agrawal, Praveen Singh, Shweta Bajaj, Vivek Verma, Abhishek Singh Chauhan:
Technology Enabled Integrated Fusion Teaching for Enhancing Learning Outcomes in Higher Education. Int. J. Emerg. Technol. Learn. 18(7): 243-249 (2023) - [j3]Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata:
QAmeleon: Multilingual QA with Only 5 Examples. Trans. Assoc. Comput. Linguistics 11: 1754-1771 (2023) - [c9]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. ACL (1) 2023: 9194-9213 - [i11]Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata:
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. CoRR abs/2305.14205 (2023) - [i10]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. CoRR abs/2306.16793 (2023) - [i9]Alexandra Chronopoulou, Jonas Pfeiffer, Joshua Maynez, Xinyi Wang, Sebastian Ruder, Priyanka Agrawal:
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization. CoRR abs/2311.09344 (2023) - 2022
- [e3]Andreas Vlachos, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu:
Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-51-3 [contents] - [i8]Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata:
QAmeleon: Multilingual QA with Only 5 Examples. CoRR abs/2211.08264 (2022) - 2021
- [c8]Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar:
Deep Domain Adaptation under Label Scarcity. COMAD/CODS 2021: 101-109 - [e2]Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos, Priyanka Agrawal, André F. T. Martins:
Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-75-6 [contents] - [i7]Emmanouil Stergiadis, Priyanka Agrawal, Oliver Squire:
Curriculum Meta-Learning for Few-shot Classification. CoRR abs/2112.02913 (2021) - 2020
- [e1]Priyanka Agrawal, Zornitsa Kozareva, Julia Kreutzer, Gerasimos Lampouras, André F. T. Martins, Sujith Ravi, Andreas Vlachos:
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-83-5 [contents]
2010 – 2019
- 2019
- [j2]Awadhesh Kumar Maurya, Priyanka Agrawal, Shubhra Dixit:
Modified Model and Algorithm of LMS Adaptive Filter for Noise Cancellation. Circuits Syst. Signal Process. 38(5): 2351-2368 (2019) - [c7]Priyanka Agrawal, Ayushi Dalmia, Parag Jain, Abhishek Bansal, Ashish R. Mittal, Karthik Sankaranarayanan:
Unified Semantic Parsing with Weak Supervision. ACL (1) 2019: 4801-4810 - [c6]Sai Koti Reddy Danda, Amrita Saha, Srikanth G. Tamilselvam, Priyanka Agrawal, Pankaj Dayama:
Risk Averse Reinforcement Learning for Mixed Multi-agent Environments. AAMAS 2019: 2171-2173 - [i6]Priyanka Agrawal, Parag Jain, Ayushi Dalmia, Abhishek Bansal, Ashish R. Mittal, Karthik Sankaranarayanan:
Unified Semantic Parsing with Weak Supervision. CoRR abs/1906.05062 (2019) - [i5]Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain:
OmniNet: A unified architecture for multi-modal multi-task learning. CoRR abs/1907.07804 (2019) - 2018
- [c5]Anirban Laha, Saneem Ahmed Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. NeurIPS 2018: 6423-6433 - [i4]Amar Prakash Azad, Dinesh Garg, Priyanka Agrawal, Arun Kumar:
Deep Domain Adaptation under Deep Label Scarcity. CoRR abs/1809.08097 (2018) - [i3]Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal, Mitesh M. Khapra, Karthik Sankaranarayanan, Harish G. Ramaswamy:
On Controllable Sparse Alternatives to Softmax. CoRR abs/1810.11975 (2018) - 2017
- [i2]Parag Jain, Priyanka Agrawal, Abhijit Mishra, Mohak Sukhwani, Anirban Laha, Karthik Sankaranarayanan:
Story Generation from Sequence of Independent Short Descriptions. CoRR abs/1707.05501 (2017) - 2015
- [i1]Lavanya Sita Tekumalla, Priyanka Agrawal, Indrajit Bhattacharya:
Nested Hierarchical Dirichlet Processes for Multi-Level Non-Parametric Admixture Modeling. CoRR abs/1508.06446 (2015) - 2014
- [c4]Vikas C. Raykar, Priyanka Agrawal:
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process. AISTATS 2014: 832-840 - [c3]Priyanka Agrawal, Vikas C. Raykar, Amrita Saha:
AUC dominant unsupervised ensemble of binary classifiers. SDM 2014: 271-279 - 2013
- [c2]Priyanka Agrawal, Vikas K. Garg, Ramasuri Narayanam:
Link Label Prediction in Signed Social Networks. IJCAI 2013: 2591-2597 - [c1]Priyanka Agrawal, Lavanya Sita Tekumalla, Indrajit Bhattacharya:
Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis. ECML/PKDD (2) 2013: 564-579
2000 – 2009
- 2005
- [j1]Piotr Kaminski, Priyanka Agrawal, Holger M. Kienle, Hausi A. Müller:
<username>, i need you!: initiative and interaction in autonomic systems. ACM SIGSOFT Softw. Eng. Notes 30(4): 1-4 (2005)
Coauthor Index
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