Haonan Jin

Training-Free Hierarchical Working Memory for Small Language Model Agents

Small language models (SLMs) are attractive for agent deployment, but they struggle to reliably retain and reuse decision-relevant state information over long interactions. This issue is exacerbated when working memory is maintained via unstructured natural-language summarization. Some recent work a…