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Ashish Upadhyay
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Journal Articles
- 2019
- [j1]Shrivishal Tripathi, Ashish Upadhyay, Shashank Kotyan, Sandeep Yadav:
Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network. Wirel. Pers. Commun. 104(3): 1175-1208 (2019)
Conference and Workshop Papers
- 2023
- [c8]Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie:
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) 2023: 153-161 - [c7]Ashish Upadhyay, Stewart Massie:
CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation. ICCBR 2023: 34-49 - 2022
- [c6]Ashish Upadhyay, Stewart Massie:
Content Type Profiling of Data-to-Text Generation Datasets. COLING 2022: 5770-5782 - [c5]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. EMNLP (Demos) 2022: 266-281 - [c4]Ashish Upadhyay, Stewart Massie:
A Case-Based Approach for Content Planning in Data-to-Text Generation. ICCBR 2022: 380-394 - 2021
- [c3]Ashish Upadhyay, Stewart Massie, Ritwik Kumar Singh, Garima Gupta, Muneendra Ojha:
A Case-Based Approach to Data-to-Text Generation. ICCBR 2021: 232-247 - 2020
- [c2]Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall:
WEC: Weighted Ensemble of Text Classifiers. CEC 2020: 1-8 - [c1]Ashish Upadhyay, Stewart Massie, Sean Clogher:
Case-Based Approach to Automated Natural Language Generation for Obituaries. ICCBR 2020: 279-294
Informal and Other Publications
- 2023
- [i2]Ashish Upadhyay:
Generalized Grötzsch Graphs. CoRR abs/2308.06301 (2023) - 2022
- [i1]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)
Coauthor Index
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