DailyQA, automatically built from Wikipedia revision logs, shows that LLMs with web retrieval answer only about half of time-sensitive questions correctly, and that reranking documents outperforms both snippets and time-aware reordering.
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DailyQA: A Benchmark to Evaluate Web Retrieval Augmented LLMs Based on Capturing Real-World Changes
DailyQA, automatically built from Wikipedia revision logs, shows that LLMs with web retrieval answer only about half of time-sensitive questions correctly, and that reranking documents outperforms both snippets and time-aware reordering.