2024

• [TMLR] Sourish Dasgupta, Ankush Chander, Parth Borad, Isha Motiyani, Tanmoy Chakraborty, PerSEval: Assessing Personalization in Text Summarizers, Transactions on Machine Learning Research (TMLR), 2024.

• [EMNLP] Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty, LM2: A Simple Society of Language Models Solves Complex Reasoning, EMNLP, 2024.

• [EMNLP] Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty, Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!, EMNLP, 2024.

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

• [EMNLP] Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty, Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators, EMNLP, 2024.

• [EMNLP] Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty, Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech, EMNLP, 2024.

• [EMNLP] Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty, Temporally Consistent Factuality Probing for Large Language Models, EMNLP, 2024.

• [EMNLP] Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee, Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models, EMNLP (Findings), 2024.

• [EMNLP] Anwoy Chatterjee, H S V N S Kowndinya Renduchintala, Sumit Bhatia, Tanmoy Chakraborty, POSIX: A Prompt Sensitivity Index For Large Language Models, EMNLP (Findings), 2024.

• [CACM] Tanmoy Chakraborty and Sarah Masud. 2024. The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity. Commun. ACM Online First (August 2024).

• [TMLR] Subhabrata Dutta, Joykirat Singh, Soumen Chakrabarti, Tanmoy Chakraborty. How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning, Transactions on Machine Learning Research (TMLR), 2024.

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

• [JMIR] Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K Gopinath, Vijay Krishnan, Swati Kedia, Koushik Sinha Deb, Tanmoy Chakraborty. Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study, Journal of Medical Internet Research (JMIR) Mental Health, 2024.

• [Nat. Mach. Intell.] Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni, Factuality Challenges in the Era of Large Language Models, Nature Machine Intelligence, 2024.

• [Nat. Lang. Eng.] Shivani Kumar, Sumit Bhatia, Milan Aggarwal, Tanmoy Chakraborty. Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems, Natural Language Engineering, 2024.

• [SIGKDD] Siddhant Saxena, Shounak Ghatak, Raghu Kolla, Debashis Mukherjee, Tanmoy Chakraborty. DPHGNN: A Dual Perspective Hypergraph Neural Networks, SIGKDD, 2024.

• [ACL] Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty. MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing, ACL (Findings), 2024. [Video]

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

• [ACL] Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty. Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks, ACL (Mains), 2024. [Video]

• [IJCAI] Salam Michael Singh, Shubhmoy Kumar Garg, Amitesh Misra, Aaditeshwar Seth, Tanmoy Chakraborty. SUKHSANDESH: An Avatar Therapeutic Question Answering Platform for Sexual Education in Rural India, IJCAI (AI for Social Goods Track), 2024.

• [Humanit. soc.] Tanmoy Chakraborty, Soham Das, Ayan Sengupta, Md Shad Akhtar. Social, Economic and Demographic Factors Drive the Emergence of Hinglish Code-mixing on Social Media, Humanities and Social Sciences Communications - Nature, 2024.

• [NAACL] Amey Hengle, Aswini Kumar Padhi, Sahajpreet Singh, Anil Bandhakavi, Md. Shad Akhtar, Tanmoy Chakraborty. Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF, NAACL (Main), 2024.

• [IEEE Trans. Affect. Comput.] S. Sharma, S. Ramaneswaran, M.S. Akhtar, T. Chakraborty. Emotion-Aware Multimodal Fusion for Meme Emotion Detection, IEEE Transactions on Affective Computing, 2024.

• [Bioinformatics] Priyadarshini Rai, Atishay Jain, Shivani Kumar, Divya Sharma, Neha Jha, Smriti Chawla, Abhijit Raj, Apoorva Gupta, Sarita Poonia, Angshul Majumdar, Tanmoy Chakraborty, Gaurav Ahuja, Debarka Sengupta. Literature Mining Discerns Latent Disease-Gene Relationships, Bioinformatics, 2024.

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

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

• [ACM] Sarah Masud, Tanmoy Chakraborty. The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity, Communications of the ACM, 2024.

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

• [EACL] Shivani Kumar, Tanmoy Chakraborty. Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues, EACL (Findings), 2024.

• [AAAI] Joykirat Singh, Subhabrata Dutta, Ishan Pandey, Tanmoy Chakraborty. Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning, AAAI, 2024.

2023

• [ACL] Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, Tanmoy Chakraborty. Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment, ACL 2023 (Recipient of ACL Outstanding Paper Award, 2023).

• [IJCAI] Atharva Kulkarni, Raya Das, Ravi S. Srivastava, Tanmoy Chakraborty. Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India, IJCAI, 2023. (Recipient of AI and Social Good Award - IJCAI, 2023)

• [EMNLP] Gurusha Juneja, Subhabrata Dutta, Soumen Chakrabarti, Sunny Manchanda, Tanmoy Chakraborty. Language Models Separately Tuned for Decomposition and Solution Improve Complex Reasoning, EMNLP, 2023.

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

• [EMNLP] Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal. Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph, EMNLP, 2023.

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

• [EMNLP] Rahul Vansh, Darsh Rank, Sourish Dasgupta, Tanmoy Chakraborty. Accuracy is not enough: Evaluating Personalization in Summarizers, EMNLP (Findings), 2023.

• [EMNLP] Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov. From Chaos to Clarity: Claim Normalization to Empower Fact-Checking, EMNLP (Findings), 2023.

• [Sci. Rep.] Udit Narang, Kushal Juneja, Pankaj Upadhyaya, Popat Salunke, Tanmoy Chakraborty, Swadhin Kumar Behera, Saroj Kanta Mishra, Akhil Dev Suresh. Artificial intelligence predicts normal summer monsoon rainfall for India in 2023, Scientific Reports, 2023.

• [TASLP] Yash Atri, Vikram Goyal, Tanmoy Chakraborty. Multi-Document Summarization Using Selective Attention Span and Reinforcement Learning, IEEE Transactions on Audio, Speech and Language Processing, 2023.

• [Neurocomputing] Tanmoy Chakraborty, Valerio La Gatta, Vincenzo Moscato, Giancarlo Sperli. Information Retrieval Algorithms and Neural Ranking Models to detect previously Fact-Checked Information, Neurocomputing, 2023.

• [INNS] Ansh Kumar Sharma, Rahul Kukreja, Mayank Kharbanda, Tanmoy Chakraborty. Node Injection for Class-specific Network Poisoning, Neural Networks journal, 2023.

• [SNAM] Sarah Masud, Tanmoy Chakraborty. Political mud slandering and power dynamics during Indian assembly elections, Social Network Analysis and Mining Journal, 2023.

• [IEEE TAI] Shivani Kumar, Shubham Dudeja, Md Shad Akhtar, Tanmoy Chakraborty. Emotion Flip Reasoning in Multiparty Conversations, IEEE Transactions on Artificial Intelligence, 2023.

• [ACM] Subhabrata Dutta, Tanmoy Chakraborty. Thus spake ChatGPT: On the reliability of AI-based chatbots for science communication, Communications of the ACM, 2023.

• [SIGKDD] Yash Kumar Atri, Vikram Goyal, Tanmoy Chakraborty. Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents, SIGKDD, 2023.

• [SIGKDD] Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty. Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment, SIGKDD, 2023.

• [SNAM] Qing Meng, Tharun Suresh, Roy Ka-Wei Lee, Tanmoy Chakraborty. Predicting Hate Intensity of Twitter Conversation Threads, Knowledge-Based Systems, 2023.

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

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

• [Nat. Mach. Intell.] Tanmoy Chakraborty, Sarah Masud. Judging the creative prowess of AI, Nature Machine Intelligence, 2023.

• [TCSS] Md Rabiul Awal, Roy Ka-Wei Lee, Eshaan Tanwar, Tanmay Garg, Tanmoy Chakraborty. Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection, IEEE Transactions on Computational Social Systems (TCSS), 2023.

• [PAKDD] Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty. Inline Citation Classification using Peripheral Context and Time-evolving Augmentation, PAKDD, 2023.

• [TCSS] Mohit Bhardwaj, Megha Sundriyal, Manjot Bedi, Md Shad Akhtar, Tanmoy Chakraborty. HostileNet: Multi-Label Hostile Post Detection in Hindi, IEEE Transactions on Computational Social Systems (TCSS), 2023.

• [PNAS] Vasu Goel, Dhruv Sahnan, Subhabrata Dutta, Anil Bandhakavic, Tanmoy Chakraborty. Hatemongers ride on echo chambers to escalate hate speech diffusion, PNAS NEXUS, 2023.

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

• [EACL] Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty. Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim?, EACL, 2023.

• [ACM] Tanmay Garg, Sarah Masud, Tharun Suresh, Tanmoy Chakraborty. Handling Bias in Toxic Speech Detection: A Survey, ACM Computing Surveys.

• [AAAI] Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty. What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes, AAAI, 2023.

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

2022

• [EMNLP] Megha Sundriyal, Atharva Kulkarni, Vaibhav Pulastya, Md. Shad Akhtar, Tanmoy Chakraborty. Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter, EMNLP, 2022. [Code & Dataset]

• [AACL] Shivam Sharma, Mohd Khizir Siddiqui, Md. Shad Akhtar, Tanmoy Chakraborty. Domain-aware Self-supervised Pre-training for Label-Efficient Meme Analysis, AACL-IJCNLP, 2022. [Code & Dataset]

• [NeurIPS] Karish Grover, S M Phaneendra Angara, Md Shad Akhtar, Tanmoy Chakraborty. Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification, NeurIPS, 2022. [Code & Dataset]

• [COLING] Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov. A Survey on Multimodal Disinformation Detection, COLING, 2022.

• [KDD] Dhruv Sahnan, Vasu Goel, Sarah Masud, Chhavi Jain, Vikram Goyal, Tanmoy Chakraborty. DiVA: A Scalable, Interactive and Customizable Visual Analytics Platform for Information Diffusion on Large Networks, ACM Transactions on Knowledge Discovery from Data (TKDD), 2022. [Code & Dataset]

• [KDD] Sarah Masud, Manjot Bedi, Mohammad Aflah Khan, Md Shad Akhtar, Tanmoy Chakraborty. Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization, SIGKDD, 2022. [Code & Dataset]

• [KDD] Aseem Srivastava, Tharun Suresh, Sarah Lord, Md Shad Akhtar, Tanmoy Chakraborty. Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering, SIGKDD, 2022.

• [TKDE] Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty. Incomplete Gamma Integrals for Deep Cascade Prediction using Content, Network, and Exogenous Signals, IEEE TKDE, 2022.

• [KAIS] Aman Roy, Shravika Mittal, Tanmoy Chakraborty. MG2Vec+: A Multi-headed Graph Attention Network for Multigraph Embedding, Knowledge and Information Systems, 2022.

• [IJCAI] Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty. Detecting and Understanding Harmful Memes: A Survey, IJCAI, 2022. (Survey Track).

• [NAACL] Shivam Sharma, Md Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty. DISARM: Detecting the Victims Targeted by Harmful Memes, NAACL (Findings), 2022. [Code & Dataset]

• [IEEE Trans. CS] Anubha Gupta, Sachin Motwani, Abhishek Agarwal, Vishaal Udandarao, Tanmoy Chakraborty. Changing Landscape of Technical Education Pedagogy from Traditional to Practical e-Learning, IEEE Computer Magazine, 2022.

• [ACM] Tanmoy Chakraborty, Sarah Masud. Nipping in the bud: detection, diffusion and mitigation of hate speech on social media, ACM SIGWEB Newsletter, Winter Issue (Invited Paper).

• [ICWSM] Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit Sheth. A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework?, ICWSM, 2022.

• [ACL] Subhabrata Dutta, Jeevesh Juneja, Dipankar Das, Tanmoy Chakraborty. Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?, ACL, 2022.

• [ACL] Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, Tanmoy Chakraborty. When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues, ACL, 2022. [Code & Dataset]

• [J. Comput. Sci.] Dhananjay Kumar Singha, Subrata Nandia, Tanmoy Chakraborty, Prasenjit Choudhurya. Disintegrating constant communities in complex networks, Journal of Computational Science, 2022.

• [ACM] Hridoy Dutta, Tanmoy Chakraborty. Blackmarket-driven Collusion on Online Media: A Survey, ACM/IMS Transactions on Data Science.

• [ICDE] Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty. On Efficient Large Maximal Biplex Discovery (Extended abstract), 38th IEEE International Conference on Data Engineering (ICDE, 2022).

• [PAKDD] Siddharth Sadhwani, Nishant Grover, Md Shad Akhtar, Tanmoy Chakraborty. Detecting Anchors' Opinion in Hinglish News Delivery, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2022).

• [PAKDD] Priya Mehta, Meet Maheshwari, Brihi Joshi, Tanmoy Chakraborty. BaDumTss: Multi-task Learning for Beatbox Transcription, 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2022). [Code & Dataset]

• [SNAM] Shivani Kumar, Anubhav Shrimal, Md Shad Akhtar, Tanmoy Chakraborty. Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Networks and Transformer, Knowledge-Based System. [Code & Dataset]

• [AAAI] Poorav Desai, Tanmoy Chakraborty, Md Shad Akhtar. Nice perfume. How long did you marinate in it? Multimodal Sarcasm Explanation, AAAI, 2022. [Code & Dataset]

• [ECIR] Manjot Bedi, Tanisha Pandey, Sumit Bhatia, Tanmoy Chakraborty. Why Did You Not Compare With That? Finding Papers for Use as Baseline, ECIR, 2022. [Code & Dataset]

• [ICWSM] Hridoy Dutta, Nirav Diwan, Tanmoy Chakraborty. Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network, ICWSM, 2022. [Code & Dataset]

• [WSDM] Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty. Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations, WSDM, 2022. [Code & Dataset]

• [WSDM] Subhabrata Dutta, Samiya Caur, Soumen Chakrabarti, Tanmoy Chakraborty. Semi-supervised Stance Detection of Tweets Via Distant Network Supervision, WSDM, 2022. [Code]

2021

• [Neurocomputing] Ayan Sengupta, Sourabh Kumar Bhattacharjee, Md Shad Akhtar, Tanmoy Chakraborty. Does Aggression Lead to Hate? Detecting and Reasoning Offensive Traits in Hinglish Code-Mixed Texts, Neurocomputing. [Code & Dataset]

• [Physica A] Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal. Dynamics of node influence in network growth models, Physica A. [Code & Dataset]

• [NeurIPS] Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty. Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems, NeurIPS, 2021. [Code & Dataset]

• [ASONAM] Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri and Tanmoy Chakraborty. Assessing the Quality of the Datasets by Identifying Mislabeled Samples, ASONAM, 2021. [Code & Dataset]

• [TKDE] Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty. QUINT: Node embedding using network hashing, IEEE Transactions on Knowledge and Data Engineering, 2021. [Code & Dataset]

• [ICDM] Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, and Tanmoy Chakraborty. Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains, ICDM 2021. [Code & Dataset]

• [EMNLP] Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov and Tanmoy Chakraborty. MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets, EMNLP Findings 2021. [Code & Dataset]

• [CIKM] Megha Sundriyal, Parantak Singh, Md. Shad Akhtar, Shubhashis Sengupta and Tanmoy Chakraborty. DESYR: Definition and Syntactic Representation Based Claim Detection on the Web, 30th ACM International Conference on Information and Knowledge Management (CIKM 2021). [Code & Dataset]

• [TIST] Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty. Detecting and Analyzing Collusive Entities on YouTube, ACM Transactions on Intelligent Systems and Technology (TIST). [Code & Dataset]

• [ACM Hypertext] Hridoy Sankar Dutta, Kartik Aggarwal and Tanmoy Chakraborty. DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter, 32nd ACM Hypertext, 2021. [Code & Dataset]

• [PKDD] Siddharth Bhatia, Yiwei Wang, Bryan Hooi, Tanmoy Chakraborty. GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs, ECML-PKDD, 2021. [Code & Dataset]

• [TAFFC] Shivani Kumar, Manjot Bedi, Md Shad Akhtar, Tanmoy Chakraborty. Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations, IEEE Transactions on Affective Computing. [Code & Dataset]

• [KDD] Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty. Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter, KDD 2021. [Code & Dataset]

• [Knowledge-Based Systems] Yash Kumar Atri, Shraman Pramanick, Vikram Goyal, Tanmoy Chakraborty. See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization, Knowledge-Based Systems. [Code & Dataset]

• [ACL] Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty, Md. Shad Akhtar. HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation, ACL Findings, 2021. [Code & Dataset]

• [ACL] Nirav Diwan, Tanmoy Chakraborty, Zubair Shafiq. Fingerprinting Fine-tuned Language Models in the Wild, ACL Findings, 2021. [Code & Dataset]

• [ACL] Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty. Detecting Harmful Memes and Their Targets, ACL Findings, 2021. [Code & Dataset] [Video] [Slides]

• [TKDE] Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty. On Efficient Large Maximal Biplex Discovery, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021. [Code & Dataset]

• [TCSS] Suraj Pandey, Md Shad Akhtar, Tanmoy Chakraborty. Syntactically Coherent Text Augmentation for Sequence Classification, IEEE Transactions on Computational Social Systems. [Code & Dataset]

• [Applied Soft Computing] William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, Tanmoy Chakraborty. Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection, Applied Soft Computing. [Code & Dataset]

• [ICWSM] William Scott Paka, Ayan Sengupta, Gaurav Rajan, Suman Roy, Tanmoy Chakraborty. An Embedding-based Joint Sentiment-Topic Model for Short Texts, The International AAAI Conference on Web and Social Media (ICWSM) 2021. [Code & Dataset] [Video] [Slides]

• [ICWSM] Shraman Pramanick, Md Shad Akhtar, Tanmoy Chakraborty. Exercise? I thought you said 'Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis, The International AAAI Conference on Web and Social Media (ICWSM) 2021. [Code & Dataset] [Video] [Slides] [Poster]

• [ICWSM] Hridoy Dutta, Udit Arora, Tanmoy Chakraborty. ABOME: A Multi-platform Data Repository of Artificially Boosted Online Media Entities, The International AAAI Conference on Web and Social Media (ICWSM) 2021. [Code & Dataset] [Video] [Slides]

• [TCSS] Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty. Hide and Seek: Outwitting Community Detection Algorithms, IEEE Transactions on Computational Social Systems (IEEE TCSS). [Code & Dataset]

• [PAKDD] Viresh Gupta, Tanmoy Chakraborty. VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning, 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021). [Code & Dataset] [Slides]

• [PAKDD] Rachit Bansal, William Scott, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty. Combining Exogenous and Endogenous Signals with a Semi-Supervised Co-Attention Network for Early Detection of COVID-19 Fake Tweets, 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021). [Code & Dataset] [Video] [Slides]

• [EACL] Shreya Gupta, Megha Sundriyal, Parantak Singh, Md Shad Akhtar, Tanmoy Chakraborty. LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content, 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021. [Code & Dataset]

• [AAAI] Anubhav Shrimal, Tanmoy Chakraborty. Attention Beam: An Image Captioning Approach, AAAI-21 Student Abstract and Poster Program. [Code & Dataset] [Video] [Poster]

• [AAAI] Siddharth Yadav, Tanmoy Chakraborty. Unsupervised Sentiment Analysis for Code-mixed Data, AAAI-21 Student Abstract and Poster Program. [Code & Dataset]

• [ICDE] Subhabrata Dutta, Sarah Masud, Sakshi Makkar, Chhavi Jain, Vikram Goyal, Amitava Das, Tanmoy Chakraborty. Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter, ICDE, 2021. [Code & Dataset] [Video] [Slides]

2020

• [SNAM] Vishaal Udandarao, Abhishek Agarwal, Anubha Gupta, Tanmoy Chakraborty. InPHYNet: Leveraging Attention-based Multitask Recurrent Networks for Multi-label Physics Text Classification, Knowledge-Based Systems, 2020. [Code & Dataset]

• [EMNLP] Tanya Chawdhury, Alvin Dey, Yash Kumar Atri, Tanmoy Chakraborty. Corpora Evaluation and System Bias detection in Multi Document Summarization, Findings of EMNLP, 2020. [Code & Dataset] Poster

• [TACL] Vaibhav Kumar, Tenzin Singhay Bhotia, Vaibhav Kumar, Tanmoy Chakraborty. Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings, Transactions of the Association for Computational Linguistics (TACL), 2020. [Code & Dataset]

• [ACM] Siva Charan Reddy Gangireddy, Deepak P, Cheng Long, Tanmoy Chakraborty. Unsupervised Fake News Detection: A Graph-based Approach, 31st ACM Conference on Hypertext and Social Media (HT), 2020. [Code & Dataset] Video

• [SIGKDD] Subhabrata Dutta, Sarah Masud, Soumen Chakrabarti, Tanmoy Chakraborty. Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction, ACM SIGKDD, 2020. [Code & Dataset] Video

• [IJCAI] Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty. Neural Abstractive Summarization with Structural Attention, International Joint Conferences on Artificial Intelligence, IJCAI, 2020. [Code & Dataset] Slides

• [IEEE Trans. COMPUT SOC SY] Viresh Gupta, Aayush, Tanmoy Chakraborty. Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews, IEEE Transactions on Computational Social Systems, 2020. [Code & Dataset]

• [JCDL] Baani Lean Kaur Jolly, Lavina Jain, Debajyoti Bera, Tanmoy Chakraborty. Unsupervised Anomaly Detection in Journal-Level Citation Networks, Joint Conference on Digital Libraries (JCDL), 2020. [Code & Dataset]

• [PAKDD] Aman Roy, Vinayak Kumar, Debdoot Mukherjee, Tanmoy Chakraborty. Learning Multigraph Node Embeddings Using Guided Levy Flights, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. [Code & Dataset] Video Slides

• [PAKDD] Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty. Modeling Citation Trajectories of Scientific Papers, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2020. [Code & Dataset] Video

• [ACM] Hridoy Dutta, Udit Arora, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty. Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020. [Code & Dataset]

• [IEEE Trans.] Vishal Raj Dutta, Aditya Adhikari, Hridoy Dutta, Tanmoy Chakraborty. HawkesEye: Detecting Fake Retweeters using Hawkes Process and Topic Modeling, IEEE Transactions on Information Forensics & Security, 2020. [Code & Dataset]

• [ECIR] Prajna Upadhyay, Srikanta Bedathur, Tanmoy Chakraborty, Maya Ramanath. Aspect-based Academic Search using Domain-specific KB, European Conference on Information Retrieval (ECIR), 2020. [Code & Dataset] Video

• [AAAI] Sarthak Jindal, Raghav Sood, Richa Singh, Mayank Vatsa, Tanmoy Chakraborty. NewsBag: A Benchmark Multimodal Dataset for Fake News Detection, SafeAI workshop, AAAI, 2020. [Code & Dataset]

• [AAAI] Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru. SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning, 34rd AAAI Conference on Artificial Intelligence (AAAI), 2020. (Student Abstract) [Code & Dataset]

2019

• [IEEE Trans. NF FOREN SEC] Hridoy Sankar Datta, Tanmoy Chakraborty. Blackmarket-driven Collusion among Retweeters – Analysis, Detection and Characterization, IEEE transactions on Forensics and Security, 2019. [Code & Dataset]

• [ICDM] Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty. Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory, International Conference on Data Mining (ICDM), 2019. [Slides]

• [CIKM] Subhabrata Dutta, Gunkirat, Shreyans, Arpan, Tanmoy Chakraborty. Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion, ACM International Conference on Information and Knowledge Management (CIKM), 2019. [Slides]

• [BigMM] Shivangi Singhal, Rajiv Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru, Shinichi Satoh. SPOTFAKE: A Multi-modal framework for fake news detection, IEEE International Conference on Multimedia Big Data (IEEE BigMM), 2019. [Code & Dataset]

• [Inf. Process. Manag.] Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty. Changing Views: Persuasion Modeling and Argument Extraction from Online Discussions, Information Processing and Management, 2019.

• [ASONAM] Udit Arora, William Scott Pakka, Tanmoy Chakraborty. Multitask Learning for Blackmarket Tweet Detection, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2019.

• [ACM] Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty. DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services, ACM Transactions on Intelligent Systems and Technology (TIST), 2019. [Code & Dataset]

• [IJCAI] Sarthika Dhawan, Siva Charan Reddy Gangireddy, Shiv Kumar, Tanmoy Chakraborty. Spotting Collective Behaviour of Online Frauds in Customer Reviews, International Joint Conferences on Artificial Intelligence (IJCAI), 2019. [Code & Dataset]

• [CVPR] Viresh Gupta, Mohit Agarwal, Manik Arora, Tanmoy Chakraborty, Richa Singh, Mayank Vatsa. Bag-of-Lies: A Multimodal Dataset for Deception Detection, Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2019), CVPR, 2019. [Code & Dataset] [Slides]

• [KAIS] Zhe Cui, Noseong Park, Tanmoy Chakraborty. Incremental Community Discovery Using Latent Network Representation and Probabilistic Inference, Knowledge and Information Systems (KAIS), 2019. [Code & Dataset]

• [SIGIR] Arpan Mukherjee, Shubhi Tiwari, Tanya Chowdhury, Tanmoy Chakraborty. Automatic Curation of Content Tables for Educational Videos, SIGIR, 2019. [Code & Dataset]

• [SemEval] Viresh Gupta, Baani Leen Kaur Jolly, Ramneek Kaur, Tanmoy Chakraborty. Stylometric Insights into Hyperpartisan News Detection, SemEval, 2019. [Code & Dataset]

• [WoWMoM] Harish Fulara, Gursimran Singh, Dhertya Jaisinghani, Mukulika Maity, Tanmoy Chakraborty, Vinayak Naik. Learning to rescue WiFi networks from unnecessary active scans, IEEE WoWMoM, 2019.

• [JCDL] Dattatreya Mohapatra, Abhishek Maiti, Sumit Bhatia, Tanmoy Chakraborty. Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019. [Code & Dataset]

• [CIM] Sudhesh Solomon, Srinivas P Y K L, Amitava Das, Björn Gambäck, Tanmoy Chakraborty. Understanding the Psycho-Sociological Facets of Homophily in Social Network communities, IEEE Computational Intelligence Magazine (IEEE CIM), 2019. (Impact Factor: 6.611) [Code & Dataset]

• [IEEE Trans.] Tanmoy Chakraborty, Sushil Jajodia, Jonathan Katz, Antonio Picariello, Giancarlo Sperlì, V.S.Subrahmanian. FORGE: A Fake Online Repository Generation Engine for Cyber Deception, IEEE Transactions on Dependable and Secure Computing, 2019.

• [ECIR] Janu Verma, Srishti Gupta, Debdoot Mukherjee, Tanmoy Chakraborty. Heterogeneous Edge Embedding for Friend Recommendation, Proceedings of 41st European Conference on Information Retrieval (ECIR), 2019.

• [ACM] Tanmoy Chakraborty, Ayush Agarwal, Noseong Park, V.S. Subrahmanian. Ensemble Detection and Analysis of Communities in Complex Networks, ACM Transactions on Data Science, 2019.

• [PAKDD] Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty. Multi-task Learning for Target-dependent Sentiment Classification, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019. [Code & Dataset] [Slides]

• [AAAI] Divam Gupta, Tanmoy Chakraborty, Soumen Chakrabarti. GIRNet: Interleaved Multi-Task Recurrent State Sequence Models, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019. [Code & Dataset] [Slides]

• [AAAI] Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulie, Tanmoy Chakraborty. Incorporating Network Embedding into Markov Random Field for Better Community Detection, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019.

• [WSDM] Aditya Chetan, Brihi Joshi, Hridoy Sankar Dutta, Tanmoy Chakraborty. CoReRank: Ranking to Detect Users Involved in Blackmarket-based Collusive Retweeting Activities, 12th ACM International Conference on Web Search and Data Mining (WSDM), 2019. [Code & Dataset] [Slides] [Poster]

• [ACM] Tanya Chowdhury, Tanmoy Chakraborty. CQASUMM: Building References for Community Question Answering Summarization Corpora, ACM India Joint International Conference on Data Science and Management of Data, 2018. [Slides] [Poster]

• [ACM] Sonu Gupta, Ponnurangam Kumaraguru, Tanmoy Chakraborty. MalReG: Detecting and Analyzing Malicious Retweeter Groups, ACM India Joint International Conference on Data Science and Management of Data, 2018. [Code & Dataset]

2018

• [IEEE Trans. Comput. Soc. Syst.] Eric Lancaster, Tanmoy Chakraborty, V.S Subrahmanian. MALTP: Parallel Prediction of Malicious Tweets, IEEE Transactions on Computational Social Systems.

• [SNAM] Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park. Ensemble-based Overlapping Community Detection using Disjoint Community Structures, Knowledge-Based Systems Journal. (Impact Factor: 4.515)

• [Springer] Subhabrata Dutta, Tanmoy Chakraborty, Dipankar Das. How did the discussion go: Discourse act classification in social media conversations, Linking and Mining Heterogeneous and Multi-view Data, Springer.

• [MAHIN] Akrati Saxena, Ralucca Gera, Ryan Miller, Tanmoy Chakraborty. Discovering and leveraging communities in dark multi-layered networks for network disruption, International Workshop on Multilayer and Heterogeneous Information Network (MAHIN), ASONAM, August 28-31, 2018, Barcelona, Spain.

• [IEEE Trans.] Hridoy Sankar Dutta, Aditya Chetan, Brihi Joshi, Tanmoy Chakraborty. Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services, IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), August 28-31, 2018, Barcelona, Spain. [Code & Dataset]

• [BigData] Sanghyun Hong, Noseong Park, Tanmoy Chakraborty, Hyunjoong Kang, Soonhyun Kwon. PAGE: Answering Graph Pattern Queries via Knowledge Graph Embedding, IEEE Bigdata Congress, July 2-8, 2018, San Francisco, USA.

• [JCS] Tanmoy Chakraborty, Sushil Jajodia, Noseong Park, Andrea Pugliese, Edoardo Serra, V.S. Subrahmanian. Hybrid Adversarial Defense: Merging Honeypots and Traditional Security Methods, Journal of Computer Security, 2018.

• [ICPR] Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, Tanmoy Chakraborty. MMGAN: Manifold-Matching Generative Adversarial Network, 24th International Conference on Pattern Recognition (ICPR), Beijing, China, 2018. [Code & Dataset]

• [IEEE IS] Soumi Dutta, Kanav Mehra, Vibhash Chandra, Asit Kumar Das, Tanmoy Chakraborty, Saptarshi Ghosh. Ensemble Algorithms for Microblog Summarization, IEEE Intelligent Systems (Special Issue on Summarization of Things), 2018. (Impact Factor: 2.374) [Code & Dataset]

• [PAKDD] Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty. DyPerm: Maximizing Permanence for Dynamic Community Detection, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Melbourne, Australia, June 3-6, 2018. [Code & Dataset]

• [AAMAS] Sandipan Sikdar, Tanmoy Chakraborty, Soumya Sarkar, Niloy Ganguly, Animesh Mukherjee. ComPAS: Community Preserving Sampling for Streaming Graphs, International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Stockholm, Sweden, July 10-15, 2018.

• [WWW] Srishti Gupta, Abhinav Khattar, Arpit Gogia, Ponnurangam Kumaraguru, Tanmoy Chakraborty. Collective Classification of Spam Campaigners on Twitter: A Hierarchical Meta-Path Based Approach, The Web Conference (WWW), Lyon, France, pp. 529-538, 2018.

• [WWW] Tanya Chowdhury, Aashay Mittal, Tanmoy Chakraborty. VIZ-Wiki: Generating Visual Summaries to Factoid Threads in Community Question Answering Services, The Web Conference (WWW), Lyon, France, pp. 231-234, 2018. (Demo Paper) [Code & Dataset] [Poster]

• [WWW] Tanmoy Chakraborty, Zhe Cui, Noseong Park. Metadata vs. Ground-truth: A Myth behind the Evolution of Community Detection Methods, The Web Conference (WWW), Lyon, France, pp. 45-46, 2018. (Poster)

• [Scientometrics] Tanmoy Chakraborty. Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory, Scientometrics, 114(3): pp. 1011-1029, 2018. (IF: 2.147)

2017

• [Scientometrics] Ratnadeep Dey, Anurag Roy, Tanmoy Chakraborty, Saptarshi Ghosh. Sleeping Beauties in Computer Science: Characterization and Early Identification, Scientometrics, 113:3, pp 1645–1663, 2017. (IF: 2.147) [Code & Dataset]

• [ICDM] Tanmoy Chakraborty. EC3: Combining Clustering and Classification for Ensemble Learning, IEEE International Conference on Data Mining (ICDM), New Orleans, LA, USA, Nov 18-21, 2017, pp. 781-786. [Code & Dataset]

• [TDSC] Tanmoy Chakraborty, Fabio Pierazzi, V.S.Subrahmanian. EC2: Ensemble Clustering and Classification for Predicting Android Malware Families, IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2017. (Accepted) (IF: 2.926)

• [Information System Frontiers] Upendra Kumar, Aishwarya. N. Reganti, Tushar Maheshwari, Tanmoy Chakraborty, Bjorn Gambäck, Amitava Das. Inducing Personalities and Values from Language Use in Social Network Communities, Information System Frontiers (Springer) Special issue on "Behavioral-Data Mining in Information Systems and the Big Data Era", 2017. (IF: 2.521)

• [IEEE Trans. Intell. Syst.] Tushar Maheshwari, Aishwarya N. Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das. Revealing Psycholinguistic Dimensions of Communities in Social Networks, IEEE Intelligent Systems Journal, (Accepted) (IF: 2.374)

• [KAIS] Tanmoy Chakraborty, Subrata Nandi. Universal Trajectories of Scientific Success, Knowledge and Information Systems (KAIS) journal, 54, pp.487–509, 2018. (IF: 2.004)

• [ACM] Tanmoy Chakraborty, Ayushi Dalmia, Animesh Mukherjee, Niloy Ganguly. Metrics for Community Analysis: A Survey, ACM Computing Surveys, 50:4, pp. 54:1--54:37, 2017. (IF: 5.243)