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cs.AI2026
Social Chain of Thought: A Multi-Agent Architecture Grounded in Medical Differential Diagnosis Methodology
Del Coburn, Scott Sanner, Dan Silver
Medical diagnostic reasoning is a high-impact use case for LLMs that carries significant implications for the health and wellbeing of users. When OpenAI (2026) reports that more th…
cs.AI2026
Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems
Jiazhou Liang, Armin Toroghi, Yifan Simon Liu +3
LLM-based conversational AI agents struggle to maintain coherent behavior over long horizons due to limited context. While RAG-based approaches are increasingly adopted to overcome…
cs.AI2026
Semantic XPath: Structured Agentic Memory Access for Conversational AI
Yifan Simon Liu, Ruifan Wu, Liam Gallagher +3
Conversational AI (ConvAI) agents increasingly maintain structured memory to support long-term, task-oriented interactions. In-context memory approaches append the growing history…