Author

S. Hwang

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Preprint Aug 2026

Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory

Agent Memory Distillation (AMD), a training-free framework that transfers structured knowledge from a large teacher agent to a small student agent through hierarchical memory, is proposed, which consistently outperforms existing memory-based baselines.

Taeil Kim, Kangsan Kim, S. Hwang · 2 citations

#artificial intelligence Review Jan 2026

TS-Debate: Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning

Across 20 tasks from three public benchmarks, TS-Debate improves classification and question answering performance over strong baselines, while revealing that debate is most useful for global-structure and cross-view reasoning rather than local value reconstruction.

Patara Trirat, Jin Myung Kwak, Jay Heo et al. · arXiv.org · 1 citation