Search papers, labs, and topics across Lattice.
Griffith University
2
0
3
0
Merging slow and fast-thinking models can cut reasoning verbosity by over 24% without sacrificing accuracy, revolutionizing LLM-based recommendations.
Personalized communication skills can transform agentic recommender systems, leading to significant improvements in recommendation accuracy by leveraging diverse user insights.
