23 citations · 49 across the 11 of their papers we have counts for
12 papers
Capability-Priced Micro-Markets: A Micro-Economic Framework for the Agentic Web over HTTP 402
Ken Huang, Jerry Huang, Mahesh Lambe +8
This paper introduces Capability-Priced Micro-Markets (CPMM), a micro-economic framework designed to enable robust, scalable, and secure commerce among autonomous AI agents on the…
Using the NANDA Index Architecture in Practice: An Enterprise Perspective
Sichao Wang, Ramesh Raskar, Mahesh Lambe +5
The proliferation of autonomous AI agents represents a paradigmatic shift from traditional web architectures toward collaborative intelligent systems requiring sophisticated mechan…
Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts
Ramesh Raskar, Pradyumna Chari, John Zinky +15
The Internet is poised to host billions to trillions of autonomous AI agents that negotiate, delegate, and migrate in milliseconds and workloads that will strain DNS-centred identi…
Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?
Ramesh Raskar, Pradyumna Chari, Jared James Grogan +11
The emerging Internet of AI Agents challenges existing web infrastructure designed for human-scale, reactive interactions. Unlike traditional web resources, autonomous AI agents in…
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…
Evaluation of LLMs Biases Towards Elite Universities: A Persona-Based Exploration
Shailja Gupta, Rajesh Ranjan
This study investigates whether popular LLMs exhibit bias towards elite universities when generating personas for technology industry professionals. We employed a novel persona-bas…