activity
20242026
most citedExploring Prompt Engineering: A Systematic Review with SWOT Analysis

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanisms

Nirajan Acharya, Gaurav Kumar Gupta

The Model Context Protocol (MCP), introduced by Anthropic in November 2024 and now governed by the Linux Foundation's Agentic AI Foundation, has rapidly become the de facto standar…

cs.AI2025

A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)

Abul Ehtesham, Aditi Singh, Gaurav Kumar Gupta +1

Large language model powered autonomous agents demand robust, standardized protocols to integrate tools, share contextual data, and coordinate tasks across heterogeneous systems. A…

cs.CL2024★ 4 cited

Exploring Prompt Engineering: A Systematic Review with SWOT Analysis

Aditi Singh, Abul Ehtesham, Gaurav Kumar Gupta +3

In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (LLMs). Emphasizing linguistic principles, we exa…

cs.CY2024

Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach

Aditi Singh, Abul Ehtesham, Saket Kumar +2

This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combin…

cs.CL2024★ 2 cited

Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses

Gaurav Kumar Gupta, Aditi Singh, Sijo Valayakkad Manikandan +1

The recent swift development of LLMs like GPT-4, Gemini, and GPT-3.5 offers a transformative opportunity in medicine and healthcare, especially in digital diagnostics. This study e…