22 citations · 61 across the 30 of their papers we have counts for
5 papers · 1 filter
Visual Alignment of Medical Vision-Language Models for Grounded Radiology Report Generation
Sarosij Bose, Ravi K. Rajendran, Biplob Debnath +3
Radiology Report Generation (RRG) is a critical step toward automating healthcare workflows, facilitating accurate patient assessments, and reducing the workload of medical profess…
TrafficLens: Multi-Camera Traffic Video Analysis Using LLMs
Md Adnan Arefeen, Biplob Debnath, Srimat Chakradhar
Traffic cameras are essential in urban areas, playing a crucial role in intelligent transportation systems. Multiple cameras at intersections enhance law enforcement capabilities,…
StreamingRAG: Real-time Contextual Retrieval and Generation Framework
Murugan Sankaradas, Ravi K. Rajendran, Srimat T. Chakradhar
Extracting real-time insights from multi-modal data streams from various domains such as healthcare, intelligent transportation, and satellite remote sensing remains a challenge. H…
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…