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Notes on large language model (llm)
4 notes
Conversational Orchestration for Organic 6G
The text discusses a proposed lightweight, decentralized conversational orchestration framework for the 'Organic 6G' network using Large Language Model (LLM)-driven domain agents. The framework aims to simplify service…
Scores Are Not Decisions: Cost-Aware Stopping for Tool Acquisition in LLM Agents
The paper presents a new approach, Cost-Aware Marginal Decision-Focused Stopping (CAM-DF), for tool selection in Large Language Model (LLM) agents that use various external services. The approach addresses the…
SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
Researchers propose SpaCellAgent, an autonomous multi-agent framework that automates spatiotemporal analysis in single-cell transcriptomics. It improves efficiency by over 40% while maintaining expert-level…
Language-Based Digital Twins for Elderly Cognitive Assistance
Researchers propose using large language models (LLMs) to create digital twins that mimic the conversational behavior of elderly individuals, potentially aiding in early detection of Mild Cognitive Impairment (MCI)…
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