Search-G1: Grounded Search Agents via Representation-Based Intrinsic Rewards
The paper "Search-G1" introduces a method to make search agents more efficient and grounded. By using lightweight "readout" models to check if a search is necessary and if the answer relies on retrieved evidence, the system ensures agents use tools effectively rather than just relying on memory.