| 2026 | AAAI | MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes. | Siddhant Agarwal, Adya Dhuler, Polly Ruhnke, Melvin Speisman, Md. Shad Akhtar, Shweta Yadav |
| 2026 | ACL | Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation. | Abdullah Mazhar, Het Riteshkumar Shah, Aseem Srivastava, Smriti Joshi, Md. Shad Akhtar |
| 2026 | LREC | Fine-grained Narrative Classification in Biased News Articles. | Zeba Afroz, Harsh Vardhan, Pawan Bhakuni, Aanchal Punia, Rajdeep Kumar, Md. Shad Akhtar |
| 2026 | LREC | HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse. | Sai Kartheek Reddy Kasu, Shankar Biradar, Sunil Saumya, Md. Shad Akhtar |
| 2026 | LREC | Knowledge-Infused Hierarchy-Aware Emotion Recognition in Code-mixed Mental Health Counseling Conversations. | Aseem Srivastava, Kushagra Mittal, Anusha Tiwari, Md. Shad Akhtar |
| 2025 | COLING | QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs. | Mohammad Aflah Khan, Neemesh Yadav, Sarah Masud, Md. Shad Akhtar |
| 2025 | EMNLP | Assess and Prompt: A Generative RL Framework for Improving Engagement in Online Mental Health Communities. | Bhagesh Gaur, Karan Gupta, Aseem Srivastava, Manish Gupta, Md. Shad Akhtar |
| 2025 | NAACL | Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation. | Palaash Goel, Dushyant Singh Chauhan, Md. Shad Akhtar |
| 2025 | WWW | Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification. | Abdullah Mazhar, Zuhair Hasan Shaik, Aseem Srivastava, Polly Ruhnke, Lavanya Vaddavalli, Sri Keshav Katragadda, Shweta Yadav, Md. Shad Akhtar |
| 2024 | ACL | No perspective, no perception!! Perspective-aware Healthcare Answer Summarization. | Gauri Naik, Sharad Chandakacherla, Shweta Yadav, Md. Shad Akhtar |
| 2024 | ACL | Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech. | Neemesh Yadav, Sarah Masud, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2024 | COLING | Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation. | Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2024 | COLING | Adding SPICE to Life: Speaker Profiling in Multiparty Conversations. | Shivani Kumar, Rishabh Gupta, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2024 | COLING | EROS: Entity-Driven Controlled Policy Document Summarization. | Joykirat Singh, Sehban Fazili, Rohan Jain, Md. Shad Akhtar |
| 2024 | EACL | Probing Critical Learning Dynamics of PLMs for Hate Speech Detection. | Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2024 | EMNLP | Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization. | Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2024 | ICLR | A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation. | Ayan Sengupta, Shantanu Dixit, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2024 | NAACL | Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF. | Amey Hengle, Aswini Kumar, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | AAAI | Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. | Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | AAAI | What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. | Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | ACL | Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation. | Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2023 | ACL | MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization. | Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | EACL | Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? | Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | EMNLP | From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues. | Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | EMNLP | Manifold-Preserving Transformers are Effective for Short-Long Range Encoding. | Ayan Sengupta, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | WWW | Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. | Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | AAAI | Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation. | Poorav Desai, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2022 | ACL | When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues. | Shivani Kumar, Atharva Kulkarni, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | AIED | Auxiliary Task Guided Interactive Attention Model for Question Difficulty Prediction. | Venktesh V, Md. Shad Akhtar, Mukesh K. Mohania, Vikram Goyal |
| 2022 | EMNLP | Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter. | Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | IJCAI | Detecting and Understanding Harmful Memes: A Survey. | Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | IJCNLP | Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis. | Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | ICWSM | A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. | Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth |
| 2022 | KDD | Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization. | Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | KDD | Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering. | Aseem Srivastava, Tharun Suresh, Sarah Peregrine Lord, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | NAACL | DISARM: Detecting the Victims Targeted by Harmful Memes. | Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | PAKDD | Detecting Anchors' Opinion in Hinglish News Delivery. | Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2022 | WSDM | Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations. | Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md. Shad Akhtar, Tanmoy Chakraborty |
| 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 |
| 2021 | ACL | Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | ACL | HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation. | Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar |
| 2021 | CIKM | DESYR: Definition and Syntactic Representation Based Claim Detection on the Web. | Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta, Tanmoy Chakraborty |
| 2021 | EACL | LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content. | Shreya Gupta, Parantak Singh, Megha Sundriyal, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2021 | EMNLP | MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | ICWSM | Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis. | Shraman Pramanick, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2020 | IJCNN | I didn't mean what I wrote! Exploring Multimodality for Sarcasm Detection. | Suyash Sangwan, Md. Shad Akhtar, Pranati Behera, Asif Ekbal |
| 2019 | CICLING | Related Tasks Can Share! A Multi-task Framework for Affective Language. | Kumar Shikhar Deep, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | EMNLP | Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis. | Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | ICONIP | Multi-task Gated Contextual Cross-Modal Attention Framework for Sentiment and Emotion Analysis. | Suyash Sangwan, Dushyant Singh Chauhan, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| 2019 | NAACL | Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. | Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | EMNLP | Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. | Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | EMNLP | IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. | Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal |
| 2018 | ICONIP | Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction. | Deepanway Ghosal, Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | NAACL | Solving Data Sparsity for Aspect Based Sentiment Analysis Using Cross-Linguality and Multi-Linguality. | Md. Shad Akhtar, Palaash Sawant, Sukanta Sen, Asif Ekbal, Pushpak Bhattacharyya |
| 2017 | EMNLP | A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis. | Md. Shad Akhtar, Abhishek Kumar, Deepanway Ghosal, Asif Ekbal, Pushpak Bhattacharyya |
| 2017 | NLDB | Feature Selection Using Multi-objective Optimization for Aspect Based Sentiment Analysis. | Md. Shad Akhtar, Sarah Kohail, Amit Kumar, Asif Ekbal, Chris Biemann |
| 2016 | CICLING | Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi. | Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |
| 2016 | COLING | A Hybrid Deep Learning Architecture for Sentiment Analysis. | Md. Shad Akhtar, Ayush Kumar, Asif Ekbal, Pushpak Bhattacharyya |
| 2016 | LREC | Aspect based Sentiment Analysis in Hindi: Resource Creation and Evaluation. | Md. Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya |