DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop. - Neelesh K. Shukla; Msp Raja; Raghu Katikeri; Amit Vaid (CoRR, 2022)

Investigating Large Language Models for Financial Causality Detection in Multilingual Setup. - Neelesh K. Shukla; Raghu Katikeri; Msp Raja; Gowtham Sivam; Shlok Yadav; Amit Vaid; Shreenivas Prabhakararao (IEEE Big Data, 2023)

Generative AI Approach to Distributed Summarization of Financial Narratives. - Neelesh K. Shukla; Raghu Katikeri; Msp Raja; Gowtham Sivam; Shlok Yadav; Amit Vaid; Shreenivas Prabhakararao (IEEE Big Data, 2023)

T2I-RISE: Text-to-Insights with Reinforcement learning, Integration of Semantic layers and Enrichment - A Comprehensive Approach with Conversational Context and Feedback Systems. - Raghu Katikeri; Sai Phaniraja; Sai Pratheek; Rajvi Desai; Amit Vaid; Neelesh K. Shukla; Sandeep Jain (IEEE Big Data, 2024)

GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation. - Neelesh K. Shukla; Prabhat Prabhakar; Sakthivel Thangaraj; Sandeep Singh; Weiyi Sun; C. Prasanna Venkatesan; Viji Krishnamurthy (COLING Workshops, 2025)

KULFi Framework: Knowledge Utilization for Optimizing Large Language Models for Financial Causal Reasoning. - Neelesh K. Shukla; Sandeep Singh; Prabhat Kumar Prabhakar; Sakthivel Thangaraj; Weiyi Sun; C. Prasanna Venkatesan; Viji Krishnamurthy (COLING Workshops, 2025)