Accepted Papers

Large Language Models (LLMs) have advanced recommendation through enhanced reasoning, but their massive scale poses significant challenges for real-world deployment due to high inference costs. Conversely, while Small Language Models (SLMs) offer an efficient alternative, their reasoning capabilitie...

Recent advances in large language models (LLMs) have opened new opportunities for personalized news recommendation. However, existing LLM-based approaches mainly focus on semantic enrichment while overlooking structural signals such as entity-level relations that are crucial for modeling user prefer...