2 papers
cs.IR2026
Ask to Be Sure: Informative Interactions for Confident Multi-Turn LLM Recommendation
Cedar Site Bai, Zhenyu Liao, Duanshun Li +6
Recent advances in large language models (LLMs) have enabled their use as conversational recommender systems (CRS), demonstrating strong recommendation accuracy and natural dialogu…
cs.AI2026
KGCache: Amortized Subgraph Retrieval for KG Reasoning with LLMs
Uros Stanic, Changcheng Yuan, Sabuj Laskar +1
Large language models can answer knowledge-intensive questions more reliably when they are grounded with knowledge graphs, but systems such as Think-on-Graph and Reasoning-on-Graph…