Sinchana Ramakanth Bhat’s scientific contributions

... This comprehensive review categorizes existing research into architectures, training strategies, and applications, while also identifying persistent challenges and proposing future research directions aimed at enhancing the reliability and multilingual capabilities of RA-LLMs. Furthermore, RAG-Ex [20] introduces a model-agnostic framework that enhances the explainability of RAG systems, addressing the crucial need for transparency in AI outputs to foster user trust. Collectively, these studies reflect a growing emphasis on usability, explainability, and user engagement across various AI-driven environments. ...

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Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance

... Anticipating the presence of an LLM in such a vehicle could be used to improve, for instance, the passengers' in-car experience with better voice assistants processing even complex natural language-based dialogues between the human and the vehicle. In fact, some global automotive manufacturers are already working on deploying state-of-the-art foundational models within the vehicles to assist the in-car experience for passengers [6], [7]. ...

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Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View