1 citations · 1 across the 4 of their papers we have counts for
4 papers · 1 filter
Benchmarking Local LLMs for Natural-Language-to-SQL Querying in Biopharmaceutical Manufacturing: An Empirical Benchmark on Consumer-Grade Hardware
Sagar Bhetwal, Rajan Bastakoti, Nirajan Acharya +2
Biopharmaceutical manufacturing organizations operate under regulatory frameworks such as FDA guidance, EU Good Manufacturing Practice (GMP), and the EU AI Act, which can restrict…
Graph-Augmented Retrieval for Cross-Entity Financial Sentiment Analysis: A Comparative Study
Rajan Bastakoti, Sagar Bhetwal, Nirajan Acharya +1
Retrieval-Augmented Generation (RAG) has become foundational for grounding large language models in domain-specific corpora, yet conventional vector-based RAG systems are fundament…
LLM-Based Support for Diabetes Diagnosis: Opportunities, Scenarios, and Challenges with GPT-5
Gaurav Kumar Gupta, Nirajan Acharya, Pranal Pande
Diabetes mellitus is a major global health challenge, affecting over half a billion adults worldwide with prevalence projected to rise. Although the American Diabetes Association (…
LLMs in Disease Diagnosis: A Comparative Study of DeepSeek-R1 and O3 Mini Across Chronic Health Conditions
Gaurav Kumar Gupta, Pranal Pande, Nirajan Acharya +2
Large Language Models (LLMs) are revolutionizing medical diagnostics by enhancing both disease classification and clinical decision-making. In this study, we evaluate the performan…