Meta Comprehensive RAG Benchmark: KDD Cup 2


Meta KDD Cup 24 - CRAG - End-to-End Retrieval-Augm Imagine using an AI assistant to get the latest updates on your favorite sports team, but instead of receiving latest scores, you get last year’s results. Or when asking about a niche movie you really like, but couldn’t get meaningful answers. These are classic examples of “hallucination” where LLMs provide outdated or incorrect information. Meta KDD Cup 24 - CRAG - Knowledge Graph and Web R Imagine using an AI assistant to get the latest updates on your favorite sports team, but instead of receiving latest scores, you get last year’s results. Or when asking about a niche movie you really like, but couldn’t get meaningful answers. These are classic examples of “hallucination” where LLMs provide outdated or incorrect information. Meta KDD Cup 24 - CRAG - Retrieval Summarization Imagine using an AI assistant to get the latest updates on your favorite sports team, but instead of receiving latest scores, you get last year’s results. Or when asking about a niche movie you really like, but couldn’t get meaningful answers. These are classic examples of “hallucination” where LLMs provide outdated or incorrect information.
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