Researchers have developed a new AI agent called SSE-Bio for answering complex biomedical questions that require multiple steps of reasoning. Unlike previous agents, SSE-Bio doesn't rely on static retrieval workflows or coarse-grained prompt rewriting, which can lead to instruction drift when procedures need to be updated. Instead, it maintains a structured state and selectively retrieves knowledge triplets and prior templates through a trainable proxy policy. This approach allows SSE-Bio to improve its reasoning memory through fine-grained template editing. The researchers claim that SSE-Bio outperforms existing baselines on three biomedical multi-hop QA benchmarks. --- Why it matters: This matters because it could lead to more accurate and efficient biomedical question answering, which is crucial for medical research and decision-making. Improved performance in this area can also have broader implications for natural language processing and artificial intelligence as a whole. Source: https://arxiv.org/abs/2608.22132