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Raghav Jain

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2020 – today

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2024
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Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha:
Explainable Cyberbullying Detection in Hinglish: A Generative Approach. IEEE Trans. Comput. Soc. Syst. 11(3): 3338-3347 (2024)
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Apoorva Singh, Prince Jha, Souryadip Das, Raghav Jain, Sriparna Saha:
Toward Multimodal Complaint Severity Detection From Social Media. IEEE Trans. Comput. Soc. Syst. 11(5): 5903-5912 (2024)
[c24]
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Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha:
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. AAAI 2024: 22031-22039
[c23]
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Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. ACL (1) 2024: 8084-8104
[c22]
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Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Hariram Veeramani, Raghav Jain, Sandesh Jain, Francielle Vargas, Ali Hürriyetoglu, Usman Naseem:
Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024. CASE 2024: 221-228
[c21]
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Surendrabikram Thapa, Kritesh Rauniyar, Farhan Jafri, Shuvam Shiwakoti, Hariram Veeramani, Raghav Jain, Guneet Singh Kohli, Ali Hürriyetoglu, Usman Naseem:
Stance and Hate Event Detection in Tweets Related to Climate Activism - Shared Task at CASE 2024. CASE 2024: 234-247
[c20]
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  - conf/dgo/VergaraJM24
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Caitlyn Vergara, Raghav Jain, Swapneel S. Mehta:
A History of Transparency Regulations: Interdisciplinary Strategies for Shaping Social Media Regulation and Self-Governance. DG.O 2024: 875-883
[c19]
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Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. EACL (1) 2024: 930-943
[c18]
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Akash Ghosh, Arkadeep Acharya, Prince Jha, Sriparna Saha, Aniket Gaudgaul, Rajdeep Majumdar, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal:
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. ECIR (5) 2024: 106-120
[c17]
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Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, Manish Gupta:
Timeline Summarization in the Era of LLMs. SIGIR 2024: 2657-2661
[i13]
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  - journals/corr/abs-2401-01596
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Akash Ghosh, Arkadeep Acharya, Prince Jha, Aniket Gaudgaul, Rajdeep Majumdar, Sriparna Saha, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal:
MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries. CoRR abs/2401.01596 (2024)
[i12]
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  - journals/corr/abs-2401-09023
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Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation. CoRR abs/2401.09023 (2024)
[i11]
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  - journals/corr/abs-2401-09899
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Prince Jha, Krishanu Maity, Raghav Jain, Apoorv Verma, Sriparna Saha, Pushpak Bhattacharyya:
Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations. CoRR abs/2401.09899 (2024)
[i10]
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  - journals/corr/abs-2403-06765
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Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Raghav Jain, Sophia Ananiadou:
ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. CoRR abs/2403.06765 (2024)
[i9]
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  - journals/corr/abs-2403-13106
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Divyansh Singhvi, Andrej Erkelens, Raghav Jain, Diganta Misra, Naomi Saphra:
Knowing Your Nonlinearities: Shapley Interactions Reveal the Underlying Structure of Data. CoRR abs/2403.13106 (2024)
[i8]
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  - journals/corr/abs-2406-05344
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Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya:
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention. CoRR abs/2406.05344 (2024)
[i7]
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  - journals/corr/abs-2406-14290
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Hriday Ranka, Mokshit Surana, Neel Kothari, Veer Pariawala, Pratyay Banerjee, Aditya Surve, Sainath Reddy Sankepally, Raghav Jain, Jhagrut Lalwani, Swapneel S. Mehta:
Examining the Implications of Deepfakes for Election Integrity. CoRR abs/2406.14290 (2024)
2023
[c16]
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  - conf/acl/SinghJJ023
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Apoorva Singh, Raghav Jain, Prince Jha, Sriparna Saha:
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection. ACL (1) 2023: 7333-7347
[c15]
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Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha:
Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. CIKM 2023: 2291-2300
[c14]
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  - conf/ecai/JainS023
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Raghav Jain, Tulika Saha, Sriparna Saha:
T-VAKS: A Tutoring-Based Multimodal Dialog System via Knowledge Selection. ECAI 2023: 1132-1139
[c13]
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Raghav Jain, Tulika Saha, Jhagrut Lalwani, Sriparna Saha:
Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization. EMNLP (Findings) 2023: 3158-3173
[c12]
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Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat:
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models. EMNLP 2023: 6750-6774
[c11]
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Krishanu Maity, Raghav Jain, Prince Jha, Sriparna Saha, Pushpak Bhattacharyya:
GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection. EMNLP 2023: 16632-16645
[c10]
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  - conf/icdar/MaityJJSB23
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Krishanu Maity, Prince Jha, Raghav Jain, Sriparna Saha, Pushpak Bhattacharyya:
"Explain Thyself Bully": Sentiment Aided Cyberbullying Detection with Explanation. ICDAR (3) 2023: 132-148
[c9]
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Apoorva Singh, Raghav Jain, Sriparna Saha:
Reimagining Complaint Analysis: Adopting Seq2Path for a Generative Text-to-Text Framework. IJCNLP (1) 2023: 241-251
[c8]
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Raghav Jain, Krishanu Maity, Prince Jha, Sriparna Saha:
Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes? IJCNN 2023: 1-8
[c7]
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Raghav Jain, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection. ACM Multimedia 2023: 8571-8579
[c6]
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  - conf/pakdd/DasSJSM23
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Sarmistha Das, Apoorva Singh, Raghav Jain, Sriparna Saha, Alka Maurya:
Let the Model Make Financial Senses: A Text2Text Generative Approach for Financial Complaint Identification. PAKDD (3) 2023: 58-69
[c5]
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Raghav Jain, Apoorv Verma, Apoorva Singh, Vivek Kumar Gangwar, Sriparna Saha:
Aspect-Based Complaint and Cause Detection: A Multimodal Generative Framework with External Knowledge Infusion. ECML/PKDD (6) 2023: 88-104
[i6]
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  - journals/corr/abs-2306-07075
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John J. Nay, David Karamardian, Sarah B. Lawsky, Wenting Tao, Meghana Bhat, Raghav Jain, Aaron Travis Lee, Jonathan H. Choi, Jungo Kasai:
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. CoRR abs/2306.07075 (2023)
[i5]
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  - journals/corr/abs-2311-14712
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Aditya Surve, Archit Rathod, Mokshit Surana, Gautam Malpani, Aneesh Shamraj, Sainath Reddy Sankepally, Raghav Jain, Swapneel S. Mehta:
Multiagent Simulators for Social Networks. CoRR abs/2311.14712 (2023)
[i4]
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  - journals/corr/abs-2312-11541
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Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha:
CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare. CoRR abs/2312.11541 (2023)
2022
[c4]
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  - conf/ecir/JainMJS22
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Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha:
WIDAR - Weighted Input Document Augmented ROUGE. ECIR (1) 2022: 304-321
[c3]
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  - conf/ijcnn/JainSCS22
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Raghav Jain, Tulika Saha, Souhitya Chakraborty, Sriparna Saha:
Domain Infused Conversational Response Generation for Tutoring based Virtual Agent. IJCNN 2022: 1-8
[i3]
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  - journals/corr/abs-2201-09282
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Raghav Jain, Vaibhav Mavi, Anubhav Jangra, Sriparna Saha:
WIDAR - Weighted Input Document Augmented ROUGE. CoRR abs/2201.09282 (2022)
[i2]
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  - journals/corr/abs-2212-01669
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Raghav Jain, Anubhav Jangra, Sriparna Saha, Adam Jatowt:
A Survey on Medical Document Summarization. CoRR abs/2212.01669 (2022)
2021
[i1]
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  - journals/corr/abs-2105-01296
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Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya:
Semantic Extractor-Paraphraser based Abstractive Summarization. CoRR abs/2105.01296 (2021)
2020
[c2]
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  - conf/icon-nlp/JangraJM0B20
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Anubhav Jangra, Raghav Jain, Vaibhav Mavi, Sriparna Saha, Pushpak Bhattacharyya:
Semantic Extractor-Paraphraser based Abstractive Summarization. ICON 2020: 191-199
[c1]
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  - conf/wacv/BondiJAAHKPSJDT20
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Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe:
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV 2020: 1736-1745

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