Papers by Rishi Kalra
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications (2025.naacl-industry)
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Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard, Xin Guan, Adriano Koshiyama, Philip Colin Treleaven
| Challenge: | Large Language Models (LLMs) face limitations due to outdated knowledge, hallucinations, and poor reasoning in complex contexts. |
| Approach: | They propose a Hybrid Parameter-Adaptive RAG system for the AI legal domain with NYC Local Law 144 as the test case. |
| Outcome: | The proposed system improves retrieval accuracy, response fidelity, and contextual precision on NYC Local Law 144 . Empirical evidence indicates that many AI tools overstate their ability to prevent hallucinations in legal and policy contexts. |