Publications

[LREC - 2026] Link
Fine-grained Narrative Classification in Biased News Articles.
Zeba Afroz, Harsh Vardhan, Pawan Bhakuni, Aanchal Punia, Rajdeep Kumar, Md. Shad Akhtar

[ACL - 2026] Link
Measuring What Matters!! Assessing Therapeutic Principles in Mental-Health Conversation.
Abdullah Mazhar, Het Riteshkumar Shah, Aseem Srivastava, Smriti Joshi, Md Shad Akhtar

[EMNLP - 2026] Link
Translation Circuit Discovery and Targeted Optimization for Low-Resource Multilingual Translation.
Atai Waris Khan, Abdullah Mazhar, Raghu Kumar, Md Shad Akhtar

[The Web Conference - 2025] Link
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification.
Abdullah Mazhar, Zuhair Hasan Shaik, Aseem Srivastava, Polly Ruhnke, Sri Keshav Katragadda, Shweta Yadav, Md Shad Akhtar

[NAACL - 2025] Link
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation.
Palaash Goel, Dushyant Singh Chauhan, Md Shad Akhtar

[EMNLP - 2025] Link
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

[NeurIPS - 2025] Link
Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation.
Zuhair Hasan Shaik, Abdullah Mazhar, Aseem Srivastava, Md Shad Akhtar

[K-CAP - 2025] Link
CommonSense to DomainSense: Distilling Commonsense Reasoning to Domain-specific Knowledge Graphs.
Narotam N, Mohammad Kaif, Neemesh Yadav, Raghava Mutharaju, Md Shad khtar.

[ICNLSP - 2025] Link
CLEAR: Code-Mixed ASR with LLM-Driven Rescoring.
Shivam Kumar, Md Shad Akhtar

[EACL - 2024] Link
Probing Critical Learning Dynamics of LLMs for Hate Speech Detection.
Sarah Masud, Mohammad Aflah Khan, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty

[COLING - 2024] Link
Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation.
Kartik Kartik, Sanjana Soni, Anoop Kunchukuttan, Tanmoy Chakraborty, Md Shad Akhtar

[COLING - 2024] Link
Adding SPICE to Life: Speaker Profiling in Multiparty Conversations.
Shivani Kumar, Rishabh Gupta, Md Shad Akhtar, Tanmoy Chakraborty

[Humanit Soc. - 2024] Link
Social, Economic and Demographic Factors Drive the Emergence of Hinglish Code-Mixing on Social Media.
Ayan Sengupta, Soham Das, Md Shad Akhtar, Tanmoy Chakraborty

[ACL - 2024] Link
Tox-BART: Leveraging Toxicity Attributes for Explanation Generation of Implicit Hate Speech.
Neemesh Yadav, Sarah Masud, Vikram Goyal, Md Shad Akhtar, Tanmoy Chakraborty

[ICLR - 2024] Link
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation.
Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar, Tanmoy Chakraborty

[EMNLP - 2024] Link
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization.
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar

[PLOS ONE - 2024] Link
Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities.
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Sarah Peregrine Lord, Md Shad Akhtar, Tanmoy Chakraborty

[Findings of EMNLP - 2023] Link
Dehumorization of Offensive Text via Exaggeration Neutralization.
Manjot Bedi, Mohit Bhardwaj, Megha Sundriyal, Md Shad Akhtar, Tanmoy Chakraborty

[AAAI - 2023] Link
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues.
Shivani Kumar, Ishani Mondal, Md Shad Akhtar, Tanmoy Chakraborty

[AAAI - 2023] Link
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

[EACL - 2023] Link
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

[WWW - 2023] Link
Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling.
Aseem Srivastava, Ishan Pandey, Md Shad Akhtar, Tanmoy Chakraborty

[IEEE TCSS - 2023] Link
HostileNet: Multi-Label Hostile Post Detection in Hindi.
Mohit Bhardwaj, Megha Sundriyal, Manjot Bedi, Md Shad Akhtar, Tanmoy Chakraborty

[ACL - 2023] Link
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation.
Shaily Desai, Rishabh Gupta, Manvi Goel, Anil Bandhakavi, Md Shad Akhtar, Tanmoy Chakraborty

[ACL - 2023] Link
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization.
Shivam Sharma, Ramaneswaran S, Udit Arora, Md Shad Akhtar, Tanmoy Chakraborty

[IEEE TAI - 2023] Link
Emotion Flip Reasoning in Multiparty Conversations.
Shivani Kumar, Shubham Dudeja, Md Shad Akhtar, Tanmoy Chakraborty

[EMNLP Findings - 2023] Link
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding.
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

[EMNLP - 2023] Link
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues.
Shivani Kumar, Ramaneswaran S, Md Shad Akhtar, Tanmoy Chakraborty

[EMNLP - 2022] Link
Explaining Toxicity in Code-mixed Language: Towards Interpretable Code-mixed Offensive Language Detection.
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

[Findings of ACL - 2022] Link
Code-mixed Hate Speech Classification: A Transfer Learning Approach.
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

[Findings of ACL - 2022] Link
Towards Explainable Hate Speech Detection via Progressive Layer-wise Conceptualization.
Shivam Sharma, Md Shad Akhtar, Tanmoy Chakraborty

[EMNLP - 2022] Link
Hate Speech Detection in Low-resource Languages: A Benchmark Dataset and Transfer Learning Experiments.
Shivam Sharma, Md Shad Akhtar, Tanmoy Chakraborty

[AAAI - 2022] Link
Interpretable Visual Hate Speech Detection.
Shivam Sharma, Md Shad Akhtar, Tanmoy Chakraborty

[TACL - 2022] Link
A Taxonomy of English-Hindi Code-Mixing: An Empirical Study and Dataset.
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

[NAACL - 2022] Link
Synthetic Code-Mixed Data Generation Using Matrix Factorization.
Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

[EACL - 2021] Link
How Emotions Influence Sarcasm in Tweets: A Multi-task Approach.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

[EACL - 2021] Link
Multi-task Learning for Emotion Identification and Sarcasm Detection.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

[IEEE Intelligent Systems - 2021] Link
Exploring the Role of Personalization in Sarcasm Detection.
Md Shad Akhtar, Pushpak Bhattacharyya, Asif Ekbal

[EMNLP - 2021] Link
Towards Measuring Social Biases in Conversational AI.
Md Shad Akhtar, Punyajoy Saha, Pawan Goyal, Animesh Mukherjee

[ACM TIST - 2021] Link
Self-Destruction: Detecting Offensive Text in User Interactions.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

[ICWSM - 2021] Link
Leveraging Pre-trained Language Models for Offensive Language Identification.
Md Shad Akhtar, Tanmoy Chakraborty

[AAAI - 2021] Link
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection.
Shivam Sharma, Md Shad Akhtar, Tanmoy Chakraborty

[LREC - 2020] Link
A Dataset for Document-level Multilingual Opinion Mining.
Md Shad Akhtar, Pushpak Bhattacharyya, Asif Ekbal

[NAACL - 2020] Link
Towards Responsible AI: Detecting and Mitigating Bias in Conversational Agents.
Md Shad Akhtar, Punyajoy Saha, Pawan Goyal, Animesh Mukherjee

[COLING - 2020] Link
A Multi-task Framework to Detect Hostility and Counter-Speech in Code-mixed Conversations.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

[COLING - 2020] Link
Detecting Harmful Online Conversations in Code-mixed Language.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya

[Findings of EMNLP - 2020] Link
Personalized Emotion Identification for Mental Health Support in Online Forums.
Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya