SRBench: Benchmarking Sequential Recommendations with LLMs
Discover SRBench, a new framework for comprehensive benchmarking of sequential recommendation models using large language models for fair and accurate eval...
MCERF: Enhanced Multimodal Retrieval for Engineering Docs
MCERF improves multimodal retrieval and reasoning for engineering documents, boosting accuracy by 41% with advanced vision-language integration.
SemaCDR: LLM-Based Cross-Domain Sequential Recommendations
Discover SemaCDR, an LLM-powered framework enhancing cross-domain sequential recommendations with transferable semantics and adaptive fusion techniques.
Context-Aware Simulation for Recommender System Testing
Discover ContextSim, a novel agent simulation framework that improves recommender system evaluation by modeling realistic user contexts and behaviors.
AI-Guided CBD Use in Older Adults: Evidence-Based Insights
Explore how AI-driven models provide safe, evidence-based guidance on cannabidiol use for older adults managing chronic conditions.