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Abdul Rafae Khan
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2020 – today
- 2023
- [c12]Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Abdul Rafae Khan, Jia Xu:
ConceptX: A Framework for Latent Concept Analysis. AAAI 2023: 16395-16397 - [c11]Xuting Tang, Mengjiao Zhang, Abdul Rafae Khan, Steve Y. Yang, Jia Xu:
Unveiling Equity: Exploring Feature Dependency using Complex-Valued Neural Networks and Attention Mechanism for Fair Data Analysis. CloudNet 2023: 256-264 - [c10]Yu Yu, Abdul Rafae Khan, Shahram Khadivi, Jia Xu:
Probabilistic Robustness for Data Filtering. EACL 2023: 2942-2951 - 2022
- [j1]Abdul Rafae Khan, Asim Karim, Hassan Sajjad
, Faisal Kamiran, Jia Xu:
A clustering framework for lexical normalization of Roman Urdu. Nat. Lang. Eng. 28(1): 93-123 (2022) - [c9]Yu Yu, Abdul Rafae Khan, Jia Xu:
Measuring Robustness for NLP. COLING 2022: 3908-3916 - [c8]Fahim Dalvi, Abdul Rafae Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad:
Discovering Latent Concepts Learned in BERT. ICLR 2022 - [c7]Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu:
Learning by Interpreting. IJCAI 2022: 4390-4396 - [c6]Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Firoj Alam, Abdul Rafae Khan, Jia Xu:
Analyzing Encoded Concepts in Transformer Language Models. NAACL-HLT 2022: 3082-3101 - [c5]Abdul Rafae Khan, Hrishikesh Kanade, Girish Amar Budhrani, Preet Jhanglani, Jia Xu:
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models. WMT 2022: 1136-1144 - [i7]Fahim Dalvi, Abdul Rafae Khan, Firoj Alam, Nadir Durrani, Jia Xu, Hassan Sajjad
Discovering Latent Concepts Learned in BERT. CoRR abs/2205.07237 (2022) - [i6]Hassan Sajjad
Analyzing Encoded Concepts in Transformer Language Models. CoRR abs/2206.13289 (2022) - [i5]Abdul Rafae Khan, Hrishikesh Kanade, Girish Amar Budhrani, Preet Jhanglani, Jia Xu:
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models. CoRR abs/2210.11670 (2022) - [i4]Firoj Alam, Fahim Dalvi, Nadir Durrani, Hassan Sajjad
ConceptX: A Framework for Latent Concept Analysis. CoRR abs/2211.06642 (2022) - 2021
- [c4]Karine Chubarian, Abdul Rafae Khan, Anastasios Sidiropoulos, Jia Xu:
Grouping Words with Semantic Diversity. NAACL-HLT 2021: 3217-3228 - [i3]Abdul Rafae Khan, Jia Xu, Peter Varsanyi, Rachit Pabreja:
Deep Interpretable Criminal Charge Prediction and Algorithmic Bias. CoRR abs/2106.13456 (2021) - 2020
- [b1]Abdul Rafae Khan:
Robust Neural Machine Translation. City University of New York, USA, 2020 - [c3]Abdul Rafae Khan, Jia Xu, Weiwei Sun:
Coding Textual Inputs Boosts the Accuracy of Neural Networks. EMNLP (1) 2020: 1350-1360 - [i2]Abdul Rafae Khan, Asim Karim, Hassan Sajjad, Faisal Kamiran, Jia Xu:
A Clustering Framework for Lexical Normalization of Roman Urdu. CoRR abs/2004.00088 (2020)
2010 – 2019
- 2019
- [c2]Weimin Lyu, Sheng Huang, Abdul Rafae Khan, Shengqiang Zhang, Weiwei Sun, Jia Xu:
CUNY-PKU Parser at SemEval-2019 Task 1: Cross-Lingual Semantic Parsing with UCCA. SemEval@NAACL-HLT 2019: 92-96 - [i1]Abdul Rafae Khan, Jia Xu:
Diversity by Phonetics and its Application in Neural Machine Translation. CoRR abs/1911.04292 (2019) - 2018
- [c1]Abdul Rafae Khan, Subhadarshi Panda, Jia Xu, Lampros Flokas:
Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation. WMT (shared task) 2018: 655-661
Coauthor Index
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