Accessing Knowledge Graph using Natural Language
Undergraduate Research, Prof. Phanikumar Gandham
Undergraduate Research, Prof. Phanikumar Gandham
Undergraduate Research, Prof. Vadlamani Nagabushana Rao
InterIIT Tech Meet 12.0, High Prep
Kinematics and Dynamics of Machinery, Jan-May 24
Manufacturing Processes, Jan-May 24
Measurement Instrumentation and Control, Jan-May 24
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
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.
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).
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.
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.
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).
Published:
A gradient-regularized deep learning framework is proposed for inverse airfoil design, enforcing geometric smoothness through spatial derivatives while preserving aerodynamic accuracy.
, Center for Responsible AI, IIT Madras, 1900
Developing novel evaluation benchmarks for detecting biases in LLMs using contrastive learning
, Department of Metallurgical and Materials Engineering, IIT Madras, 1900
Natural Language Interface for Ontology Reasoning using Large Language Models
, Artificial Intelligence Club, Center for Innovation, 1900
Using Deep Learning for optimizing Performance Characterstics of Airfoil
, Centre for Non-Destructive Evaluation, IIT Madras, 1900
Developing data-driven methodologies for defect characterization using advanced meta-lens technology
, Department of Electrical Engineering, IIT Madras, 1900
Developing advanced depth prediction techniques for low-light environments using SPAD technology