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2020 – today
- 2023
[c4]Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy:
PLAtE: A Large-scale Dataset for List Page Web Extraction. ACL (industry) 2023: 284-294- [c3]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization. EACL (Findings) 2023: 2044-2060 - [c2]Weston Feely, Prabhakar Gupta, Manas Ranjan Mohanty, Timothy Chon, Tuhin Kundu, Vijit Singh, Sandeep Atluri, Tanya Roosta, Viviane Ghaderi, Peter Schulam:
QCon at SemEval-2023 Task 10: Data Augmentation and Model Ensembling for Detection of Online Sexism. SemEval@ACL 2023: 1260-1270 - 2022
- [i3]Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy:
PLAtE: A Large-scale Dataset for List Page Web Extraction. CoRR abs/2205.12386 (2022) - 2021
- [c1]Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri:
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. EMNLP (1) 2021: 5103-5135 - [i2]Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi:
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints. CoRR abs/2108.02859 (2021) - [i1]Li Zhou, Kevin Small, Yong Zhang, Sandeep Atluri:
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning. CoRR abs/2109.04689 (2021)
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