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Arshiya Aggarwal
2020 – today
- 2022
- [c6]Arshiya Aggarwal, Jiao Sun, Nanyun Peng:
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts. EMNLP (Findings) 2022: 6022-6032 - [i1]Arshiya Aggarwal, Jiao Sun, Nanyun Peng:
Towards Robust NLG Bias Evaluation with Syntactically-diverse Prompts. CoRR abs/2212.01700 (2022) - 2021
- [c5]Ramit Sawhney, Arshiya Aggarwal, Rajiv Ratn Shah
:
An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls. NAACL-HLT 2021: 3751-3757 - 2020
- [c4]Ramit Sawhney, Piyush Khanna, Arshiya Aggarwal, Taru Jain, Puneet Mathur, Rajiv Ratn Shah:
VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls. EMNLP (1) 2020: 8001-8013 - [c3]Ramit Sawhney, Arshiya Aggarwal, Piyush Khanna, Puneet Mathur, Taru Jain, Rajiv Ratn Shah
Risk Forecasting from Earnings Calls Acoustics and Network Correlations. INTERSPEECH 2020: 2307-2311
2010 – 2019
- 2019
- [c2]Arshiya Aggarwal, Nisheet Das, Mansi Arora, Madan Mohan Tripathi:
A novel hybrid architecture for classification of power quality disturbances. CoDIT 2019: 1829-1834 - [c1]Arshiya Aggarwal, Nisheet Das, Indu Sreedevi:
Attention-guided deep convolutional neural networks for skin cancer classification. IPTA 2019: 1-6
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last updated on 2025-03-04 21:12 CET by the dblp team
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