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Jasabanta Patro
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2020 – today
- 2026
[c10]Devesh Sharma
, Aditya Kishore
, Ayush Garg
, Debajyoti Mazumder
, Debasis Mohapatra
, Jasabanta Patro
:
Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks. WSDM 2026: 1243-1247- 2025
[j2]Debajyoti Mazumder
, Aakash Kumar
, Jasabanta Patro
:
Improving Code-Mixed Hate Detection by Native Sample Mixing: A Case Study for Hindi-English Code-Mixed Scenario. ACM Trans. Asian Low Resour. Lang. Inf. Process. 24(5): 47:1-47:21 (2025)
[c9]Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro:
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection. EMNLP (Findings) 2025: 24077-24107
[i12]Gaurav Kumar
, Debajyoti Mazumder, Ayush Garg, Jasabanta Patro
:
Improving the fact-checking performance of language models by relying on their entailment ability. CoRR abs/2505.15050 (2025)
[i11]Deepesh Gavit, Debajyoti Mazumder, Samiran Das, Jasabanta Patro:
On VLMs for Diverse Tasks in Multimodal Meme Classification. CoRR abs/2505.20937 (2025)
[i10]Aditya Kishore, Gaurav Kumar, Jasabanta Patro
:
Multimodal Fact Checking with Unified Visual, Textual, and Contextual Representations. CoRR abs/2508.05097 (2025)
[i9]Devesh Sharma
, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra, Jasabanta Patro:
Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks. CoRR abs/2509.23409 (2025)- 2024
[i8]Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
:
Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario. CoRR abs/2405.20755 (2024)
[i7]Debajyoti Mazumder
, Aakash Kumar, Jasabanta Patro
:
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection. CoRR abs/2412.12761 (2024)- 2022
[c8]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi
, Jasabanta Patro
:
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. SemEval@NAACL 2022: 938-944
[i6]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro
:
IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. CoRR abs/2203.02244 (2022)- 2021
[j1]Tien Huu Do
, Marc Berneman
, Jasabanta Patro
, Giannis Bekoulis
, Nikos Deligiannis
:
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9: 130042-130054 (2021)
[c7]Jasabanta Patro
, Sabyasachee Baruah:
A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News. EACL 2021: 3293-3305- 2020
[c6]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro
, Animesh Mukherjee:
Code-Switching Patterns Can Be an Effective Route to Improve Performance of Downstream NLP Applications: A Case Study of Humour, Sarcasm and Hate Speech Detection. ACL 2020: 1018-1023
[c5]Jasabanta Patro
, Pushpendra Singh Rathore:
A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter. HT 2020: 241-250
[i5]Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee:
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection. CoRR abs/2005.02295 (2020)
2010 – 2019
- 2019
[c4]Jasabanta Patro
, Srijan Bansal, Animesh Mukherjee:
A deep-learning framework to detect sarcasm targets. EMNLP/IJCNLP (1) 2019: 6335-6341
[c3]Jasabanta Patro
, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the Spread of Exaggerated Health News Content over Social Media. HT 2019: 279-280
[c2]Jasabanta Patro
, Nitin Choudhary, Kalpit Chittora, Animesh Mukherjee:
KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. SemEval@NAACL-HLT 2019: 241-246- 2018
[i4]Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee:
What Propels Celebrity Follower Counts? Language Use or Social Connectivity. CoRR abs/1811.07169 (2018)
[i3]Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee:
Characterizing the spread of exaggerated news content over social media. CoRR abs/1811.07853 (2018)- 2017
[c1]Jasabanta Patro
, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. EMNLP 2017: 2264-2274
[i2]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media. CoRR abs/1703.05122 (2017)
[i1]Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee:
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media. CoRR abs/1707.08446 (2017)
Coauthor Index

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last updated on 2026-03-06 21:38 CET by the dblp team
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