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The post calls for updated benchmarks for AI research that test models in real-world conditions with unrestricted tool and internet access, highlighting that current benchmarks are outdated or too restrictive.
HyperProve proposes a retrieval-augmented QA framework for multi-hop questions using answer-guided hypergraph expansion, achieving superior performance over baselines in benchmarks.