AIBullisharXiv – CS AI · Mar 177/10
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APEX-Searcher: Augmenting LLMs' Search Capabilities through Agentic Planning and Execution
Researchers introduce APEX-Searcher, a new framework that enhances large language models' search capabilities through a two-stage approach combining reinforcement learning for strategic planning and supervised fine-tuning for execution. The system addresses limitations in multi-hop question answering by decoupling retrieval processes into planning and execution phases, showing significant improvements across multiple benchmarks.