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3 papers from Allen Institute for AI (AI2) on Recommendation & Information Retrieval
Synthetic benchmarks can't catch the nuances of personalized deep research, as real users revealed nine critical errors that LLM judges missed entirely.
Agentic search gets a meta-RL boost: MR-Search learns to self-reflect and adapt search strategies across episodes, significantly outperforming standard RL baselines.
Forget simple keyword searches – scientists are using AI research tools as collaborative partners, delegating complex tasks and engaging with results in surprisingly persistent and non-linear ways.
