23 citations · 46 across the 7 of their papers we have counts for
7 papers
LOKA Protocol: A Decentralized Framework for Trustworthy and Ethical AI Agent Ecosystems
Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh
The rise of autonomous AI agents, capable of perceiving, reasoning, and acting independently, signals a profound shift in how digital ecosystems operate, govern, and evolve. As the…
Fairness in Agentic AI: A Unified Framework for Ethical and Equitable Multi-Agent System
Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh
Ensuring fairness in decentralized multi-agent systems presents significant challenges due to emergent biases, systemic inefficiencies, and conflicting agent incentives. This paper…
Comprehensive Framework for Evaluating Conversational AI Chatbots
Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh
Conversational AI chatbots are transforming industries by streamlining customer service, automating transactions, and enhancing user engagement. However, evaluating these systems r…
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions
Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh
This paper presents a comprehensive study of Retrieval-Augmented Generation (RAG), tracing its evolution from foundational concepts to the current state of the art. RAG combines re…
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh
Large Language Models(LLMs) have revolutionized various applications in natural language processing (NLP) by providing unprecedented text generation, translation, and comprehension…
Comprehensive Study on Sentiment Analysis: From Rule-based to modern LLM based system
Shailja Gupta, Rajesh Ranjan, Surya Narayan Singh
This paper provides a comprehensive survey of sentiment analysis within the context of artificial intelligence (AI) and large language models (LLMs). Sentiment analysis, a critical…
Gender Biases in LLMs: Higher intelligence in LLM does not necessarily solve gender bias and stereotyping
Rajesh Ranjan, Shailja Gupta, Surya Naranyan Singh
Large Language Models (LLMs) are finding applications in all aspects of life, but their susceptibility to biases, particularly gender stereotyping, raises ethical concerns. This st…