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cs.AI2026

Dual- versus Single-Suggestion AI Support for Radiographic Interpretation in Residents: Randomized Multireader Study

Lin Wu, Zhe Xu, Hongyi Wang +10

Purpose: To compare dual- and single-suggestion AI support for radiographic interpretation by residents, particularly when the shared AI suggestion was incorrect. Materials and Met…

cs.AI2026

Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems

Hong Su

Large Language Model (LLM) agents have demonstrated remarkable capabilities in reasoning and tool use, yet they often suffer from rigid, reactive control flows that limit their ada…

cs.AI2026

Autonomous Question Formation for Large Language Model-Driven AI Systems

Hong Su

Large language model (LLM)-driven AI systems are increasingly important for autonomous decision-making in dynamic and open environments. However, most existing systems rely on pred…

cs.AI2026

Actively Obtaining Environmental Feedback for Autonomous Action Evaluation Without Predefined Measurements

Hong Su

Obtaining reliable feedback from the environment is a fundamental capability for intelligent agents to evaluate the correctness of their actions and to accumulate reusable knowledg…

cs.AI2025

A Layered Intuition -- Method Model with Scope Extension for LLM Reasoning

Hong Su

Existing studies have introduced method-based reasoning and scope extension as approaches to enhance Large Language Model (LLM) performance beyond direct matrix mappings. Building…

cs.AI2025

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement

Hong Su

Large language models (LLMs) have shown impressive capabilities across a wide range of language tasks. However, their reasoning process is primarily guided by statistical patterns…