| 2026 | ACL | Exploring Two-Phase Continual Instruction Fine-tuning for Multilingual Adaptation in Large Language Models. | Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram |
| 2025 | ECAI | LLMs for Resource Allocation: A Participatory Budgeting Approach to Inferring Preferences. | Sankarshan Damle, Boi Faltings |
| 2024 | COMAD | Tutorial on Fair and Private Deep Learning. | Manisha Padala, Sankarshan Damle, Sujit Gujar |
| 2024 | ECAI | No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design. | Sankarshan Damle, Varul Srivastava, Sujit Gujar |
| 2023 | AAAI | Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation. | Sankarshan Damle, Manisha Padala, Sujit Gujar |
| 2023 | PAKDD | F3: Fair and Federated Face Attribute Classification with Heterogeneous Data. | Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Ravi Kiran Sarvadevabhatla, Sujit Gujar |
| 2022 | COMAD | Fair Federated Learning for Heterogeneous Data. | Samhita Kanaparthy, Manisha Padala, Sankarshan Damle, Sujit Gujar |
| 2021 | ICONIP | Federated Learning Meets Fairness and Differential Privacy. | Manisha Padala, Sankarshan Damle, Sujit Gujar |
| 2021 | PRICAI | Designing Refund Bonus Schemes for Provision Point Mechanism in Civic Crowdfunding. | Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar |
| 2019 | IJCAI | Civic Crowdfunding for Agents with Negative Valuations and Agents with Asymmetric Beliefs. | Sankarshan Damle, Moin Hussain Moti, Praphul Chandra, Sujit Gujar |