The FSTP Test: a novel approach for an invention's non-obviousness analysis. - Shashishekar Ramakrishna; Naouel Karam; Adrian Paschke (JURIX, 2012)

Cognitive System for Knowledge Representation of Elementary Pragmatics. - Shashishekar Ramakrishna (RuleML (2), 2012)

First Approaches on Knowledge Representation of Elementary (Patent) Pragmatics. - Shashishekar Ramakrishna (RuleML (2), 2013)

Semi-automated Vocabulary Building for Structured Legal English. - Shashishekar Ramakrishna; Adrian Paschke (RuleML, 2014)

A Process for Knowledge Transformation and Knowledge Representation of Patent Law. - Shashishekar Ramakrishna; Adrian Paschke (RuleML, 2014)

Rule reasoning for legal norm validation of FSTP facts. - Naouel Karam; Shashishekar Ramakrishna; Adrian Paschke (CoRR, 2014)

Bridging the gap between Legal Practitioners and Knowledge Engineers using semi-formal KR. - Shashishekar Ramakrishna; Adrian Paschke (CoRR, 2014)

The Role of Pragmatics in Legal Norm Representation. - Shashishekar Ramakrishna; Lukasz Górski; Adrian Paschke (CoRR, 2015)

A Dialogue between a Lawyer and Computer Scientist: The Evaluation of Knowledge Transformation from Legal Text to Computer-Readable Format. - Shashishekar Ramakrishna; Lukasz Górski; Adrian Paschke (Appl. Artif. Intell., 2016)

KR4IPLaw Judgment Miner - Case-Law Mining for Legal Norm Annotation. - Shashishekar Ramakrishna; Lukasz Górski; Adrian Paschke (AICOL, 2017)

A Knowledge Representation Framework for Handling Elementary (Patent) Pragmatics (Ein Wissensrepräsentations-Framework für die Handhabung von elementaren (Patent-) Pragmatiken) - Shashishekar Ramakrishna (2017)

Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. Extended Version. - Lukasz Górski; Shashishekar Ramakrishna; Jedrzej M. Nowosielski (AICOL, 2020)

Towards Grad-CAM Based Explainability in a Legal Text Processing Pipeline. - Lukasz Górski; Shashishekar Ramakrishna; Jedrzej M. Nowosielski (XAILA@JURIX, 2020)

Explainable artificial intelligence, lawyer's perspective. - Lukasz Górski; Shashishekar Ramakrishna (ICAIL, 2021)

Challenges in Adapting LLMs for Transparency: Complying with Art. 14 EU AI Act. - Lukasz Górski; Shashishekar Ramakrishna (JURIX, 2023)

Zero-Shot Question Answering over Financial Documents using Large Language Models. - Karmvir Singh Phogat; Chetan Harsha; Sridhar Dasaratha; Shashishekar Ramakrishna; Sai Akhil Puranam (CoRR, 2023)

Fine-tuning Smaller Language Models for Question Answering over Financial Documents. - Karmvir Singh Phogat; Sai Akhil Puranam; Sridhar Dasaratha; Chetan Harsha; Shashishekar Ramakrishna (EMNLP (Findings), 2024)

Synthetic Data Generation Using Large Language Models for Financial Question Answering. - Chetan Harsha; Karmvir Singh Phogat; Sridhar Dasaratha; Sai Akhil Puranam; Shashishekar Ramakrishna (COLING Workshops, 2025)

Right to Explanation in Large Language Models: Lessons from the European Union AI Act and General Data Protection Regulation. - Lukasz Górski; Shashishekar Ramakrishna (IT Prof., 2025)