Karmanya Aggarwal 个人学术档案

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Rajiv Ratn SHAHAssociate Professor, IIIT-Delhi在 iiitd.ac.in 的电子邮件经过验证
Dr. Neha YadavAssistant Professor at Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India在 nitj.ac.in 的电子邮件经过验证
Pakhi BamdevUniversity of Edinburgh在 sms.ed.ac.uk 的电子邮件经过验证
Debanjan MahataSenior Research Scientist @ Bloomberg在 bloomberg.net 的电子邮件经过验证
Ponnurangam Kumaraguru "PK"#ProfGiri Computer Science @ IIIT Hyderabad, Alumni @ Carnegie Mellon & @ BITS Pilani在 iiit.ac.in 的电子邮件经过验证
Roger ZimmermannProfessor of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Harsh ShrivastavaFarfetch在 farfetch.com 的电子邮件经过验证
Meghna P AyyarUniversité de Bordeaux, LaBRI在 labri.fr 的电子邮件经过验证

Karmanya Aggarwal

在 seas.upenn.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021	133	2021
Does putting a linguist in the loop improve NLU data collection? A Parrish, W Huang, O Agha, SH Lee, N Nangia, A Warstadt, K Aggarwal, ... arXiv preprint arXiv:2104.07179, 2021	36	2021
Fireball: A dataset of dungeons and dragons actual-play with structured game state information A Zhu, K Aggarwal, A Feng, LJ Martin, C Callison-Burch arXiv preprint arXiv:2305.01528, 2023	10	2023
Trawling for trolling: A dataset K Aggarwal, P Bamdev, D Mahata, RR Shah, P Kumaraguru arXiv preprint arXiv:2008.00525, 2020	6	2020
A comparative study of machine learning algorithms for prior prediction of UFC fights Hitkul, K Aggarwal, N Yadav, M Dwivedy Harmony Search and Nature Inspired Optimization Algorithms: Theory and …, 2019	6	2019
Wanyu Du S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea …, 2021	5	2021
Facefetch: An efficient and scalable face retrieval system that uses your visual memory H Shrivastava, RK PVNS, K Aggarwal, MP Ayyar, Y Yin, RR Shah, ... 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 338-347, 2019	5	2019

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