Author

Imran Razzak

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#artificial intelligence Review Sep 2026

BARRAC: Adaptation of an English Aspect-based Sentiment Analysis Approach for Classification Tasks in Arabic Dialects

With the rapid growth of Arabic NLP, several models, datasets and benchmarks have been reported. This paper asks whether approaches developed for majority languages like English can be adapted to Arabic tasks. We adapt an English aspect-based sentiment analysis framework to Arabic classification tasks and present the a...

Ali Almutairi, Gelareh Mohammadi, Imran Razzak et al. · 0 citations

#artificial intelligence May 2025

Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning

Retrieval-Augmented Generation (RAG) systems empower large language models (LLMs) with external knowledge, yet struggle with efficiency-accuracy trade-offs when scaling to large knowledge graphs. Existing approaches often rely on monolithic graph retrieval, incurring unnecessary latency for simple queries and fragmente...

Rui-Yi Yang, Hao Xue, Imran Razzak et al. · arXiv.org · 4 citations

#artificial intelligence Jul 2026

TopoBrick: Agentic Topology Sampling of Exogenous Variables for Zero-Shot Building IoT Forecasting

TopoBrick is presented, a training-free framework for zero-shot building IoT (Internet-of-Things) forecasting that outperforms strong zero-shot foundation-model baselines and remains competitive with fully trained building-specific models.

Xiachong Lin, Du Yin, Arian Prabowo et al. · arXiv.org · 0 citations