2 papers
cs.LG2026
Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training with Cross-Agent Learning Signals
Jaewan Park, Solbee Cho, Jay-Yoon Lee
Modern language agents which perform multi-step reasoning have shown strong performance in knowledge-intensive question answering. However, existing approaches typically couple evi…
cs.LG2025
Stop-RAG: Value-Based Retrieval Control for Iterative RAG
Jaewan Park, Solbee Cho, Jay-Yoon Lee
Iterative retrieval-augmented generation (RAG) enables large language models to answer complex multi-hop questions, but each additional loop increases latency, costs, and the risk…