| 2026 | ACL | When Facts Change: Temporal Knowledge Conflict Resolution in LLMs. | Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar |
| 2026 | LREC | Why So Separate: Analyzing In-Context Learning from a Vector Space Perspective. | Tobias Kalmbach, Sandipan Sikdar |
| 2026 | LREC | Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification. | Felix Wernlein, Abhik Jana, Sandipan Sikdar |
| 2025 | ACL | ACCESS DENIED INC: The First Benchmark Environment for Sensitivity Awareness. | Dren Fazlija, Arkadij Orlov, Sandipan Sikdar |
| 2025 | ICWSM | Exploring Disparity-Accuracy Trade-offs in Face Recognition Systems: The Role of Datasets, Architectures, and Loss Functions. | Siddharth D. Jaiswal, Sagnik Basu, Sandipan Sikdar, Animesh Mukherjee |
| 2025 | SIGIR | Evaluating LLMs' (In)ability to Follow Prompts in QA Tasks. | Aparup Khatua, Tobias Kalmbach, Prasenjit Mitra, Sandipan Sikdar |
| 2024 | AAAI | FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning. | Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella |
| 2024 | AAAI | IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers. | Jingge Xiao, Leonie Basso, Wolfgang Nejdl, Niloy Ganguly, Sandipan Sikdar |
| 2024 | ECAI | TrustFed: Navigating Trade-offs Between Performance, Fairness, and Privacy in Federated Learning. | Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl, Marco Fisichella |
| 2024 | ECAI | IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models. | Seham Nasr, Sandipan Sikdar |
| 2024 | EMNLP | Rethinking Evaluation Methods for Machine Unlearning. | Leon Wichert, Sandipan Sikdar |
| 2022 | EMNLP | SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. | Jan Engler, Sandipan Sikdar, Marlene Lutz, Markus Strohmaier |
| 2022 | ICDM | Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. | Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern |
| 2021 | ACL | Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. | Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese |
| 2020 | COMAD | Topic Influence Graph Based Analysis of Seminal Papers. | Abhirut Gupta, Sandipan Sikdar, Prateeti Mohapatra, Niloy Ganguly |
| 2020 | WWW | The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings. | Binny Mathew, Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier |
| 2019 | ACL | StRE: Self Attentive Edit Quality Prediction in Wikipedia. | Soumya Sarkar, Bhanu Prakash Reddy, Sandipan Sikdar, Animesh Mukherjee |
| 2016 | CIKM | Anomalies in the Peer-review System: A Case Study of the Journal of High Energy Physics. | Sandipan Sikdar, Matteo Marsili, Niloy Ganguly, Animesh Mukherjee |
| 2016 | CSCW | Identifying and Characterizing Sleeping Beauties on YouTube. | Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee |
| 2015 | INFOCOM | On the broadcast of segmented messages in dynamic networks. | Sandipan Sikdar, Marcin Bodych, Rajib Ranjan Maiti, Biswajit Paria, Niloy Ganguly, Tyll Krueger, Animesh Mukherjee |