10 papers
AgenticTwin: An Agentic LLM Framework Integrated with Digital Twin for Anomaly Detection
Touseef Hasan, Mounika Ghanta, Souvika Sarkar +1
Digital twins are increasingly used to monitor and simulate the behavior of cyber-physical systems. Even with skilled operators, interpreting anomalies detected within digital twin…
TRACE: Trustworthy Retrieval-Augmented Conversational Engine
Touseef Hasan, Laila Cure, Souvika Sarkar
Public service chatbots are expected to deliver recommendations from an underlying public service directory, while also making sure that the recommendations respect explicit user c…
Pitfalls of Evaluating Language Models with Open Benchmarks
Md. Najib Hasan, Md Mahadi Hassan Sibat, Mohammad Fakhruddin Babar +3
Open Large Language Model (LLM) benchmarks, such as HELM and BIG-Bench, provide standardized and transparent evaluation protocols that support comparative analysis, reproducibility…
Knowledge Graph-Enhanced Zero-Shot Topic Classification: A Multi-Strategy Comparative Study
Shahana Akter, Yatharth Vohra, Ankita Shukla +1
Multi-label topic classification without labeled training data is a challenging task, specially when documents contain complex relational information. We present a zero-shot multi-…
SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
Touseef Hasan, Blessing Airehenbuwa, Nitin Pundir +2
Large language models (LLMs) have shown remarkable capabilities in natural language processing tasks, yet their application in hardware security verification remains limited due to…
Retrieval Challenges in Low-Resource Public Service Information: A Case Study on Food Pantry Access
Touseef Hasan, Laila Cure, Souvika Sarkar
Public service information systems are often fragmented, inconsistently formatted, and outdated. These characteristics create low-resource retrieval environments that hinder timely…