5 citations · 5 across the 3 of their papers we have counts for
4 papers
pro-team at LLMs4OL 2026 Tasks Flagship and Reuse: Retrieval-Augmented Generation and Vocabulary-Constrained Filtering for Ontology Learning
Shivam Mishra, Dhannu Ram Meena, Muneendra Ojha +2
Ontology learning from text remains challenging despite significant progress in Large Language Models (LLMs), which can hallucinate domain terms, produce inconsistent formats, and…
Enhanced Low-Density Region Exploration in Classifier-Guided Diffusion Models Through Modified Reverse Diffusion Sampling
Jagriti Singh, Shekhar Verma, Muneendra Ojha
Diffusion models have emerged as state-of-the-art generative models for high-fidelity image synthesis, particularly in their classifier-free guided and classifier-guided forms. How…
Optimizing Supply Chain Management using Gravitational Search Algorithm and Multi Agent System
Muneendra Ojha
Supply chain management is a very dynamic operation research problem where one has to quickly adapt according to the changes perceived in environment in order to maximize the benef…
A Novel Service Oriented Model for Query Identification and Solution Development using Semantic Web and Multi Agent System
Muneendra Ojha
In this paper, we propose to develop service model architecture by merging multi-agentsystems and semantic web technology. The proposed architecture works in two stages namely, Que…