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Survey maps graph roles in retrieval-augmented generation
Survey of graph-based techniques in retrieval-augmented generation systems, examining their roles in database construction, algorithms, and reasoning with structured knowledge.
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SCOPE: Real-Time Natural Language Camera Agent at the Edge
SCOPE integrates natural language processing with camera control for edge deployment, executing perception and planning locally without cloud dependencies.
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AI campus platform reports better engagement and faster evaluation
Gurukulya is an AI-powered smart campus platform combining LLMs, sentiment analysis, and automated assessment to boost student engagement, reduce evaluation time by 85%, and improve learning.
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CodeVoyager: Integrating Interactive Visual Aids with LLMs for Code Comprehension
Study integrating LLMs with interactive visual aids for code comprehension, evaluating improved understanding and user trust through multimodal interaction design.
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Montague’s shift toward formal natural language analysis
Explore Richard Montague's intellectual shift from skepticism toward pioneering formal semantics for natural language in the late 1960s, reshaping linguistic analysis.
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Prompt-driven KG-enhanced LLM reasoning improved KBQA accuracy
Prompt-driven framework combining LLMs with knowledge graphs for reliable knowledge-based question answering through structured subgraph retrieval and stepwise reasoning validation.
