Author

Prashant Devadiga

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#artificial intelligence Preprint Sep 2026

IndicBankBench: Evaluating Safety and Reliability of Language Model Assistants in Indian Retail Banking

IndicBankBench is introduced, a 799-case benchmark for Indian retail banking spanning five operational domains, a capability/refusal domain, and twenty primary axes, and a case-level diagnostics that distinguish systems that ask unnecessary questions from those that act but fail to reconcile customer context or fully r...

Suvradip Paul, Chandra Bhushan, Harsh Sharma et al. · 0 citations

#artificial intelligence Preprint Sep 2026

FiMI Banking: A Sovereign Model for Indian Retail Banking

FiMI Banking, a controlled Indian retail-banking setting, is introduced and it is shown that preference optimization and verifiable-reward reinforcement learning address complementary requirements for reliable banking agents.

Npci AI Research Team Aman Kumar, Asit Desai, Chandra Bhushan et al. · 0 citations

Jul 2026

A Formal Hierarchical Architecture for Agentic Orchestration with Stack-Based Execution and Lazy Discovery

This paper provides a mathematical formalization of the orchestration state, detailed algorithmic analysis of the execution loop, and controlled benchmarks comparing flat and hierarchical routing under increasing tool catalogs, multi-step workflow pressure, and visible schema-token exposure per LLM call.

Prashant Devadiga, Abhishek, Adithya Mishra et al. · arXiv.org · 0 citations