Akshay

Akshay

Student/AI Enthusiast

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

Published:

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Blog Post number 4

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

academic_projects

competitions

course_projects

implementations

professional_experience

publications

RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced Query Responses

Published:

This paper proposes RE-GAINS and EnChAnT, two novel frameworks that empower Large Language Models to tackle complex user queries through intelligent tool invocation and chaining using external APIs.

Recommended citation: Sahil Girhepuje, Siva Sankar Sajeev, Akshay Govind Srinivasan, et al. (2024). "RE-GAINS & EnChAnT: Intelligent Tool Manipulation Systems For Enhanced Query Responses." arXiv preprint. arXiv:2401.15724. https://arxiv.org/pdf/2401.15724.pdf

Systems and Methods for Agentic Based Approach in Retrieval Augmented Generation

Published:

This patent describes systems and methods for implementing agentic approaches in retrieval-augmented generation, enhancing AI system capabilities through intelligent agent-based architectures.

Recommended citation: Akshay Govind Srinivasan, Ryan Jacob George et al. (2025). "Systems and Methods for Agentic Based Approach in Retrieval Augmented Generation." Patent Application Number: 202541024879.

Enhancing Financial RAG using Agentic AI and Multi-HyDE: A Novel Approach to Information Retrieval and Hallucination Reduction

Published:

This paper presents a novel approach to enhance financial retrieval-augmented generation using agentic AI systems and Multi-HyDE methodology to reduce hallucinations and improve information retrieval accuracy.

Recommended citation: Akshay Govind Srinivasan, Ryan George et al. (2025). "Enhancing Financial RAG using Agentic AI and Multi-HyDE: A Novel Approach to Information Retrieval and Hallucination Reduction." Conference on Language Modelling. (Under Review).

Systems and Methods for Agentic Based Approach in Retrieval Augmented Generation

Published:

This patent describes systems and methods for implementing agentic approaches in retrieval-augmented generation, enhancing AI system capabilities through intelligent agent-based architectures.

Recommended citation: Akshay Govind Srinivasan, Ryan Jacob George et al. (2025). "Systems and Methods for Agentic Based Approach in Retrieval Augmented Generation." Patent Application Number: 202541024879.

Data Generation Techniques for Tool-Based LLM Applications

Published:

This patent covers innovative data generation techniques specifically designed for tool-based Large Language Model applications, enabling scalable and efficient training data creation.

Recommended citation: Akshay Govind Srinivasan, Sahil Girhepuje, Siva Sankar Sajeev et al. (2024). "Data Generation Techniques for Tool-Based LLM Applications." Patent Application Number: 202441079904.

IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context

Published:

This paper introduces IndiCASA, a comprehensive dataset and evaluation framework for measuring social biases in Large Language Models specifically tailored for the Indian context using contrastive embedding similarity.

Recommended citation: Santhosh G S, Akshay Govind Srinivasan, et al. (2025). "IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context." Eighth AAAI/ACM Conference on AI, Ethics, and Society. (Accepted).

research_experience

OntoLLM

, Department of Metallurgical and Materials Engineering, IIT Madras, 1900

Natural Language Interface for Ontology Reasoning using Large Language Models

Project OptiWing

, Artificial Intelligence Club, Center for Innovation, 1900

Using Deep Learning for optimizing Performance Characterstics of Airfoil