Ashish Upadhyay

According to our database, Ashish Upadhyay authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring.

Adil Nygaard, Ashish Upadhyay, Lauren Hinkle, Xenia Skotti, Joe Halliwell, Ian Brown, Glen Noronha

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Generalized Grötzsch Graphs.

Ashish Upadhyay

CoRR, 2023

CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation.

Ashish Upadhyay, Stewart Massie

Proceedings of the Case-Based Reasoning Research and Development, 2023

Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers.

Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie

Proceedings of the Computational Science - ICCS 2023, 2023

2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

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

CoRR, 2022

A Case-Based Approach for Content Planning in Data-to-Text Generation.

Ashish Upadhyay, Stewart Massie

Proceedings of the Case-Based Reasoning Research and Development, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Content Type Profiling of Data-to-Text Generation Datasets.

Ashish Upadhyay, Stewart Massie

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Case-Based Approach to Data-to-Text Generation.

Ashish Upadhyay, Stewart Massie, Ritwik Kumar Singh, Garima Gupta, Muneendra Ojha

Proceedings of the Case-Based Reasoning Research and Development, 2021

2020

Case-Based Approach to Automated Natural Language Generation for Obituaries.

Ashish Upadhyay, Stewart Massie, Sean Clogher

Proceedings of the Case-Based Reasoning Research and Development, 2020

WEC: Weighted Ensemble of Text Classifiers.

Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Analysis and Comparison of Different Fuzzy Inference Systems Used in Decision Making for Secondary Users in Cognitive Radio Network.

Shrivishal Tripathi, Ashish Upadhyay, Shashank Kotyan, Sandeep Yadav

Wirel. Pers. Commun., 2019