SRSA, a router that picks between direct, parallel, and planning searches for each query, improves informativeness and completeness on a new contextual-query benchmark while using fewer LLM inference steps than a ReAct agent.
Large language models can be easily distracted by irrelevant context,
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SRSA: A Cost-Efficient Strategy-Router Search Agent for Real-world Human-Machine Interactions
SRSA, a router that picks between direct, parallel, and planning searches for each query, improves informativeness and completeness on a new contextual-query benchmark while using fewer LLM inference steps than a ReAct agent.