Jasabanta Patro

26 papers A* 3A 2Journal 15Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks. WSDM Devesh Sharma, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra, Jasabanta Patro
2026	A*	`conf`	MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification. WWW Aditya Kishore, Gaurav Kumar, Jasabanta Patro
2026	J	`jnl`	Neither Here Nor There: Cross-Lingual Representation Dynamics of Code-Mixed Text in Multilingual Encoders. CoRR Debajyoti Mazumder, Divyansh Pathak, Prashant Kodali, Jasabanta Patro
2025	J	`jnl`	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. Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
2025	J	`jnl`	Improving the fact-checking performance of language models by relying on their entailment ability. CoRR Gaurav Kumar, Debajyoti Mazumder, Ayush Garg, Jasabanta Patro
2025	J	`jnl`	Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks. CoRR Devesh Sharma, Aditya Kishore, Ayush Garg, Debajyoti Mazumder, Debasis Mohapatra, Jasabanta Patro
2025	J	`jnl`	Multimodal Fact Checking with Unified Visual, Textual, and Contextual Representations. CoRR Aditya Kishore, Gaurav Kumar, Jasabanta Patro
2025	J	`jnl`	On VLMs for Diverse Tasks in Multimodal Meme Classification. CoRR Deepesh Gavit, Debajyoti Mazumder, Samiran Das, Jasabanta Patro
2025	—	`conf`	Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection. EMNLP (Findings) Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
2024	J	`jnl`	Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario. CoRR Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
2024	J	`jnl`	Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection. CoRR Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
2022	J	`jnl`	IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. CoRR Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro
2022	—	`conf`	IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. SemEval@NAACL Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro
2021	A	`conf`	A Simple Three-Step Approach for the Automatic Detection of Exaggerated Statements in Health Science News. EACL Jasabanta Patro, Sabyasachee Baruah
2021	J	`jnl`	Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis
2020	—	`conf`	A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter. HT Jasabanta Patro, Pushpendra Singh Rathore
2020	A*	`conf`	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 Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
2020	J	`jnl`	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 Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro, Animesh Mukherjee
2019	—	`conf`	A deep-learning framework to detect sarcasm targets. EMNLP/IJCNLP (1) Jasabanta Patro, Srijan Bansal, Animesh Mukherjee
2019	—	`conf`	Characterizing the Spread of Exaggerated Health News Content over Social Media. HT Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee
2019	—	`conf`	KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. SemEval@NAACL-HLT Jasabanta Patro, Nitin Choudhary, Kalpit Chittora, Animesh Mukherjee
2018	J	`jnl`	Characterizing the spread of exaggerated news content over social media. CoRR Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee
2018	J	`jnl`	What Propels Celebrity Follower Counts? Language Use or Social Connectivity. CoRR Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee
2017	J	`jnl`	All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media. CoRR Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
2017	A*	`conf`	All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media. EMNLP Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
2017	J	`jnl`	Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media. CoRR Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee