| 2026 | EACL | Synthesizing question answering data from financial documents: An End-to-End Multi-Agent Approach. | Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Shashishekar Ramakrishna |
| 2025 | COLING | Synthetic Data Generation Using Large Language Models for Financial Question Answering. | Chetan Harsha, Karmvir Singh Phogat, Sridhar Dasaratha, Sai Akhil Puranam, Shashishekar Ramakrishna |
| 2024 | EMNLP | Fine-tuning Smaller Language Models for Question Answering over Financial Documents. | Karmvir Singh Phogat, Sai Akhil Puranam, Sridhar Dasaratha, Chetan Harsha, Shashishekar Ramakrishna |
| 2023 | JURIX | Challenges in Adapting LLMs for Transparency: Complying with Art. 14 EU AI Act. | Lukasz Grski, Shashishekar Ramakrishna |
| 2021 | ICAIL | Explainable artificial intelligence, lawyer's perspective. | Lukasz Grski, Shashishekar Ramakrishna |
| 2020 | JURIX | Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. | Lukasz Grski, Shashishekar Ramakrishna, Jedrzej M. Nowosielski |
| 2012 | JURIX | The FSTP Test: a novel approach for an invention's non-obviousness analysis. | Shashishekar Ramakrishna, Naouel Karam, Adrian Paschke |