SeedER uses initial dense seeding followed by RL-driven selective expansion to improve recall on compositional KG queries while limiting candidate set size.
SFT.SFT is a supervised fine-tuning baseline built on top of the ToG-style LLM search agent
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SeedER: Seed-and-Expand Retrieval from Knowledge Graphs
SeedER uses initial dense seeding followed by RL-driven selective expansion to improve recall on compositional KG queries while limiting candidate set size.