| 2026 | ACL | Multilingual Tokenization through the Lens of Indian Languages: Challenges and Insights. | Maharaj Brahma, N. J. Karthika, Rajat Verma, Nagasai Saketh Naidu, Rohit Saluja, Maunendra Sankar Desarkar, Ganesh Ramakrishnan |
| 2026 | EACL | A Unified View on Emotion Representation in Large Language Models. | Aishwarya Maheswaran, Maunendra Sankar Desarkar |
| 2025 | ACL | Semantics-aware prompting for translating NOtices To AirMen. | Minal Nitin Dani, Aishwarya Maheswaran, Maunendra Sankar Desarkar |
| 2025 | EMNLP | DIWALI - Diversity and Inclusivity aWare cuLture specific Items for India: Dataset and Assessment of LLMs for Cultural Text Adaptation in Indian Context. | Pramit Sahoo, Maharaj Brahma, Maunendra Sankar Desarkar |
| 2025 | WACV | Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models. | Debolena Basak, Soham Bhatt, Sahith Kanduri, Maunendra Sankar Desarkar |
| 2024 | EACL | CharSpan: Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. | Kaushal Maurya, Rahul Kejriwal, Maunendra Sankar Desarkar, Anoop Kunchukuttan |
| 2024 | NLDB | Detecting Attribute Information in Notice to Airman. | Minal Nitin Dani, Maunendra Sankar Desarkar |
| 2024 | PAKDD | Transformer based Multitask Learning for Image Captioning and Object Detection. | Debolena Basak, P. K. Srijith, Maunendra Sankar Desarkar |
| 2024 | PAKDD | DQAC: Detoxifying Query Auto-completion with Adapters. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | SIGIR | DAC: Quantized Optimal Transport Reward-based Reinforcement Learning Approach to Detoxify Query Auto-Completion. | Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar |
| 2024 | SIGdial | BoK: Introducing Bag-of-Keywords Loss for Interpretable Dialogue Response Generation. | Suvodip Dey, Maunendra Sankar Desarkar |
| 2023 | ACL | DivHSK: Diverse Headline Generation using Self-Attention based Keyword Selection. | Venkatesh Elangovan, Kaushal Maurya, Deepak Kumar, Maunendra Sankar Desarkar |
| 2023 | EMNLP | SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages. | Maharaj Brahma, Kaushal Maurya, Maunendra Sankar Desarkar |
| 2023 | INLG | On Text Style Transfer via Style-Aware Masked Language Models. | Sharan Narasimhan, Pooja H, Suvodip Dey, Maunendra Sankar Desarkar |
| 2023 | KDD | Time-to-Event Modeling with Hypernetwork based Hawkes Process. | Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar |
| 2023 | SAC | ComplAI: Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models. | Arkadipta De, Satya Swaroop Gudipudi, Sourab Panchanan, Maunendra Sankar Desarkar |
| 2023 | SIGdial | Dial-M: A Masking-based Framework for Dialogue Evaluation. | Suvodip Dey, Maunendra Sankar Desarkar |
| 2022 | ACL | Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances. | Suvodip Dey, Ramamohan Kummara, Maunendra Sankar Desarkar |
| 2022 | ACL | Meta-X | Kaushal Kumar Maurya, Maunendra Sankar Desarkar |
| 2022 | IC3K | Predicting Reputation Score of Users in Stack-overflow with Alternate Data. | Sahil Yerawar, Sagar Jinde, P. K. Srijith, Maunendra Sankar Desarkar, K. M. Annervaz, Shubhashis Sengupta |
| 2022 | NAACL | Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer. | Sharan Narasimhan, Suvodip Dey, Maunendra Sankar Desarkar |
| 2022 | WWW | Multi-Context Based Neural Approach for COVID-19 Fake-News Detection. | Arkadipta De, Maunendra Sankar Desarkar |
| 2022 | SAC | Effective utilization of labeled data from related tasks using graph contrastive pretraining: application to disaster related text classification. | Samujjwal Ghosh, Subhadeep Maji, Maunendra Sankar Desarkar |
| 2021 | AAAI | Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings. | Arkadipta De, Venkatesh Elangovan, Kaushal Kumar Maurya, Maunendra Sankar Desarkar |
| 2021 | ACL | ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation. | Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano, Kumari Deepshikha |
| 2021 | ECIR | Social Media Popularity Prediction of Planned Events Using Deep Learning. | Sreekanth Madisetty, Maunendra Sankar Desarkar |
| 2021 | SIGdial | Hi-DST: A Hierarchical Approach for Scalable and Extensible Dialogue State Tracking. | Suvodip Dey, Maunendra Sankar Desarkar |
| 2020 | CIKM | Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension. | Kaushal Kumar Maurya, Maunendra Sankar Desarkar |
| 2019 | COMSNETS | Term Specific TF-IDF Boosting for Detection of Rumours in Social Networks. | Uddipta Bhattacharjee, Srijith P. K, Maunendra Sankar Desarkar |
| 2019 | COMSNETS | Leveraging Social Media Towards Understanding Anti-Vaccination Campaigns. | Uddipta Bhattacharjee, P. K. Srijith, Maunendra Sankar Desarkar |
| 2019 | DocEng | Multi-Context Information for Word Representation Learning. | Swapnil Dewalkar, Maunendra Sankar Desarkar |
| 2018 | COLING | Aggression Detection in Social Media using Deep Neural Networks. | Sreekanth Madisetty, Maunendra Sankar Desarkar |
| 2018 | COMSNETS | A framework for real-time spam detection in Twitter. | Himank Gupta, Mohd. Saalim Jamal, Sreekanth Madisetty, Maunendra Sankar Desarkar |
| 2018 | RecSys | Get me the best: predicting best answerers in community question answering sites. | Rohan Tondulkar, Manisha Dubey, Maunendra Sankar Desarkar |
| 2018 | WWW | Class Specific TF-IDF Boosting for Short-text Classification: Application to Short-texts Generated During Disasters. | Samujjwal Ghosh, Maunendra Sankar Desarkar |
| 2018 | SIGIR | PReFacTO: Preference Relations Based Factor Model with Topic Awareness and Offset. | Priyanka Choudhary, Maunendra Sankar Desarkar |
| 2017 | IC3K | Exploiting Meta Attributes for Identifying Event Related Hashtags. | Sreekanth Madisetty, Maunendra Sankar Desarkar |
| 2017 | IC3K | Identification of Relevant Hashtags for Planned Events Using Learning to Rank. | Sreekanth Madisetty, Maunendra Sankar Desarkar |
| 2016 | BIBE | CRDT: Correlation Ratio Based Decision Tree Model for Healthcare Data Mining. | Smita Roy, Samrat Mondal, Asif Ekbal, Maunendra Sankar Desarkar |
| 2014 | DSAA | Diversification in news recommendation for privacy concerned users. | Maunendra Sankar Desarkar, Neha Shinde |
| 2013 | BIBE | Med-Tree: A user knowledge graph framework for medical applications. | Maunendra Sankar Desarkar, Sandip Bhaumik, Sailesh K. Sathish, Satnam Singh, Ranga V. Narayanan |
| 2012 | IC3K | User based Collaborative Filtering with Temporal Information for Purchase Data. | Maunendra Sankar Desarkar, Sudeshna Sarkar |
| 2012 | RecSys | Local learning of item dissimilarity using content and link structure. | Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra |
| 2010 | RecSys | Aggregating preference graphs for collaborative rating prediction. | Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra |