| 2025 | ACL | MemeDetoxNet: Balancing Toxicity Reduction and Context Preservation. | Gitanjali Kumari, Jitendra Solanki, Asif Ekbal |
| 2024 | COLING | CM-Off-Meme: Code-Mixed Hindi-English Offensive Meme Detection with Multi-Task Learning by Leveraging Contextual Knowledge. | Gitanjali Kumari, Dibyanayan Bandyopadhyay, Asif Ekbal, Vinutha B. N. |
| 2024 | EACL | Unintended Bias Detection and Mitigation in Misogynous Memes. | Gitanjali Kumari, Anubhav Sinha, Asif Ekbal |
| 2024 | ECIR | Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection. | Gitanjali Kumari, Chandranath Adak, Asif Ekbal |
| 2024 | EMNLP | M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought. | Gitanjali Kumari, Kirtan Jain, Asif Ekbal |
| 2023 | ECIR | A Knowledge Infusion Based Multitasking System for Sarcasm Detection in Meme. | Dibyanayan Bandyopadhyay, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, Vinutha B. N. |
| 2023 | IJCNLP | The Persuasive Memescape: Understanding Effectiveness and Societal Implications of Internet Memes. | Gitanjali Kumari, Pranali Shinde, Asif Ekbal |
| 2021 | AAAI | Overview of CONSTRAINT 2021 Shared Tasks: Detecting English COVID-19 Fake News and Hindi Hostile Posts. | Parth Patwa, Mohit Bhardwaj, Vineeth Guptha, Gitanjali Kumari, Shivam Sharma, Srinivas PYKL, Amitava Das, Asif Ekbal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2021 | AAAI | Fighting an Infodemic: COVID-19 Fake News Dataset. | Parth Patwa, Shivam Sharma, Srinivas PYKL, Vineeth Guptha, Gitanjali Kumari, Md. Shad Akhtar, Asif Ekbal, Amitava Das, Tanmoy Chakraborty |