most citedFaculty Perspectives on the Potential of RAG in Computer Science Higher Education

1 citations · 3 across the 5 of their papers we have counts for

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5 papers

cs.HC2025

CLiVR: Conversational Learning System in Virtual Reality with AI-Powered Patients

Akilan Amithasagaran, Sagnik Dakshit, Bhavani Suryadevara +1

Simulations constitute a fundamental component of medical and nursing education and traditionally employ standardized patients (SP) and high-fidelity manikins to develop clinical r…

cs.CY2025

Interpretability Framework for LLMs in Undergraduate Calculus

Sagnik Dakshit, Sushmita Sinha Roy

Large Language Models (LLMs) are increasingly being used in education, yet their correctness alone does not capture the quality, reliability, or pedagogical validity of their probl…

cs.LG2025★ 1 cited

Cross-Modality Investigation on WESAD Stress Classification

Eric Oliver, Sagnik Dakshit

Deep learning's growing prevalence has driven its widespread use in healthcare, where AI and sensor advancements enhance diagnosis, treatment, and monitoring. In mobile health, AI-…

cs.CY2024★ 1 cited

Faculty Perspectives on the Potential of RAG in Computer Science Higher Education

Sagnik Dakshit

The emergence of Large Language Models (LLMs) has significantly impacted the field of Natural Language Processing and has transformed conversational tasks across various domains be…

cs.CL2024★ 1 cited

Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?

Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit

Advancements in deep learning have generated a large-scale interest in the development of foundational deep learning models. The development of Large Language Models (LLM) has evol…