4 papers · 1 filter
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…
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…
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…
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…