2 citations · 3 across the 5 of their papers we have counts for
5 papers
Re-ranking the Context for Multimodal Retrieval Augmented Generation
Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating external knowledge to generate a response within a context with improved accuracy and re…
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance
Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1
Retrieval-augmented generation (RAG) improves large language models (LLMs) by using external knowledge to guide response generation, reducing hallucinations. However, RAG, particul…
Transformer-Aided Semantic Communications
Matin Mortaheb, Erciyes Karakaya, Mohammad A. Amir Khojastepour +1
The transformer structure employed in large language models (LLMs), as a specialized category of deep neural networks (DNNs) featuring attention mechanisms, stands out for their ab…
Deep Learning-Based Real-Time Quality Control of Standard Video Compression for Live Streaming
Matin Mortaheb, Mohammad A. Amir Khojastepour, Srimat T. Chakradhar +1
Ensuring high-quality video content for wireless users has become increasingly vital. Nevertheless, maintaining a consistent level of video quality faces challenges due to the fluc…
Codebook Design for Composite Beamforming in Next-generation mmWave Systems
Nariman Torkzaban, Mohamamd A., Khojastepour +1
In pursuance of the unused spectrum in higher frequencies, millimeter wave (mmWave) bands have a pivotal role. However, the high path-loss and poor scattering associated with mmWav…