LERA: LLM-Enhanced RAG for Ad Auction in Generative Chatbots

In three linesLERA introduces a two-stage ad auction framework for LLM chatbots: coarse filtering via embeddings, then fine ranking using LLM prompts for relevance scores. Combines organic relevance with bids using critical-value payment rule. Improves ad selection accuracy and insertion diversity on synthetic benchmark.

Summary generated by Claude — human-verified