Seanie Lee

4 papers KAIST

• Distilling LLM Agent into Small Models with Retrieval and Code Tools
• FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
• Reliable Decision‑Making via Calibration‑Oriented Retrieval‑Augmented Generation
• Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training