Auto-FL-Research: Agentic Search for Federated Learning Algorithms⭐8

Auto-FL-Research introduces an agentic search framework for automating federated learning algorithm design. Tests on 11 healthcare and LEAF benchmarks

Beyond Parallel Sampling: Diverse Query Initialization for⭐10

Diverse query initialization (DivInit) boosts agentic search by replacing redundant parallel sampling, achieving 5-7% gains on multi-hop QA tasks.

Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace⭐9

Dr-DCI scales direct corpus interaction by dynamically expanding workspaces via retriever-steered actions, achieving 71.2% accuracy in Browsecomp-Plus benchmark...