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2020 – today
- 2023
[c8]Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara:
Controlled Text Generation with Hidden Representation Transformations. ACL (Findings) 2023: 9440-9455- [c7]Shivanshu Gupta, Yoshitomo Matsubara
, Ankit Chadha, Alessandro Moschitti:
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. ACL (Findings) 2023: 14078-14092 - [c6]Minh Van Nguyen, Kishan KC, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, Thuy Vu:
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection. INTERSPEECH 2023: 3437-3441 - [c5]Minh Nguyen, Kishan K. C., Toan Nguyen, Ankit Chadha, Thuy Vu:
Efficient Fine-Tuning Large Language Models for Knowledge-Aware Response Planning. ECML/PKDD (2) 2023: 593-611 - [i8]Shivanshu Gupta, Yoshitomo Matsubara, Ankit Chadha, Alessandro Moschitti:
Cross-Lingual Knowledge Distillation for Answer Sentence Selection in Low-Resource Languages. CoRR abs/2305.16302 (2023) - [i7]Vaibhav Kumar, Hana Koorehdavoudi, Masud Moshtaghi, Amita Misra, Ankit Chadha, Emilio Ferrara:
Controlled Text Generation with Hidden Representation Transformations. CoRR abs/2305.19230 (2023) - [i6]Minh Van Nguyen, Kishan KC, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, Thuy Vu:
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection. CoRR abs/2306.02196 (2023) - 2022
- [c4]Zeyu Zhang, Thuy Vu, Sunil Gandhi, Ankit Chadha, Alessandro Moschitti:
WDRASS: A Web-scale Dataset for Document Retrieval and Answer Sentence Selection. CIKM 2022: 4707-4711 - [c3]Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung:
Training Mixed-Domain Translation Models via Federated Learning. NAACL-HLT 2022: 2576-2586 - [i5]Peyman Passban, Tanya G. Roosta, Rahul Gupta, Ankit Chadha, Clement Chung:
Training Mixed-Domain Translation Models via Federated Learning. CoRR abs/2205.01557 (2022) - [i4]Aiswarya Sankar, Ankit Chadha:
ACM - Attribute Conditioning for Abstractive Multi Document Summarization. CoRR abs/2205.03978 (2022) - 2021
- [j1]Ankit Chadha, Marian K. Kazimierczuk:
Small-Signal Modeling of Open-Loop PWM Tapped-Inductor Buck DC-DC Converter in CCM. IEEE Trans. Ind. Electron. 68(7): 5765-5775 (2021) - [i3]Tanya G. Roosta, Peyman Passban, Ankit Chadha:
Communication-Efficient Federated Learning for Neural Machine Translation. CoRR abs/2112.06135 (2021) - 2020
- [i2]Ankit Chadha, Mohamed Masoud:
Deep Reinforced Self-Attention Masks for Abstractive Summarization (DR.SAS). CoRR abs/2001.00009 (2020)
2010 – 2019
- 2019
- [c2]Ankit Chadha, Marian K. Kazimierczuk:
Tapped-Inductor Buck DC-DC Converter with Complex Load. MWSCAS 2019: 407-410 - [i1]Ankit Chadha, Rewa Sood:
BERTQA - Attention on Steroids. CoRR abs/1912.10435 (2019) - 2018
- [c1]Dalvir K. Saini, Ankit Chadha, Agasthya Ayachit, Alberto Reatti, Marian K. Kazimierczuk:
Duty Cycle and Input-to-Output Voltage Transfer Functions of Tapped-Inductor Buck DC-DC Converter. ISCAS 2018: 1-5
Coauthor Index
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