6 citations · 15 across the 23 of their papers we have counts for
11 papers · 1 filter
TinyLLM: Evaluation and Optimization of Small Language Models for Agentic Tasks on Edge Devices
Mohd Ariful Haque, Fahad Rahman, Kishor Datta Gupta +2
This paper investigates the effectiveness of small language models (SLMs) for agentic tasks (function/tool/API calling) with a focus on running agents on edge devices without relia…
Lite VLA: Efficient Vision-Language-Action Control on CPU-Bound Edge Robots
Justin Williams, Kishor Datta Gupta, Roy George +1
The deployment of artificial intelligence models at the edge is increasingly critical for autonomous robots operating in GPS-denied environments where local, resource-efficient rea…
Physics-Based Benchmarking Metrics for Multimodal Synthetic Images
Kishor Datta Gupta, Marufa Kamal, Md. Mahfuzur Rahman +3
Current state of the art measures like BLEU, CIDEr, VQA score, SigLIP-2 and CLIPScore are often unable to capture semantic or structural accuracy, especially for domain-specific or…
Beyond Visual Similarity: Rule-Guided Multimodal Clustering with explicit domain rules
Kishor Datta Gupta, Mohd Ariful Haque, Marufa Kamal +3
Traditional clustering techniques often rely solely on similarity in the input data, limiting their ability to capture structural or semantic constraints that are critical in many…
Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures
Kishor Datta Gupta, Mohd Ariful Haque, Hasmot Ali +3
Generative AI (GEN AI) models have revolutionized diverse application domains but present substantial challenges due to reliability concerns, including hallucinations, semantic dri…
VLCE: A Knowledge-Enhanced Framework for Image Description in Disaster Assessment
Md. Mahfuzur Rahman, Kishor Datta Gupta, Marufa Kamal +5
General-purpose vision-language models (VLMs) such as LLaVA and QwenVL produce descriptions of disaster imagery that lack domain-specific vocabulary and actionable detail. We propo…
UrbanInsight: A Distributed Edge Computing Framework with LLM-Powered Data Filtering for Smart City Digital Twins
Kishor Datta Gupta, Md Manjurul Ahsan, Mohd Ariful Haque +2
Cities today generate enormous streams of data from sensors, cameras, and connected infrastructure. While this information offers unprecedented opportunities to improve urban life,…
Advanced Tool Learning and Selection System (ATLASS): A Closed-Loop Framework Using LLM
Mohd Ariful Haque, Justin Williams, Sunzida Siddique +4
The combination of LLM agents with external tools enables models to solve complex tasks beyond their knowledge base. Human-designed tools are inflexible and restricted to solutions…
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
Sarwar Saif, Md Jahirul Islam, Md. Zihad Bin Jahangir +4
The arrival of Machine Learning (ML) completely changed how we can unlock valuable information from data. Traditional methods, where everything was stored in one place, had big pro…
SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
Ariful Haque, Sunzida Siddique, Md. Mahfuzur Rahman +5
The integration of Large Language Models (LLMs) such as GitHub Copilot, ChatGPT, Cursor AI, and Codeium AI into software development has revolutionized the coding landscape, offeri…
An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies
Parag Biswas, Abdur Rashid, abdullah al masum +4
Energy management decreases energy expenditures and consumption while simultaneously increasing energy efficiency, reducing carbon emissions, and enhancing operational performance.…