3 citations · 3 across the 8 of their papers we have counts for
8 papers
Reliability, validity, and diagnostic evidence for multi-model LLM short-answer scoring
Chunyi Zhao, Chao Li
Large language models (LLMs) are increasingly used or proposed for educational scoring, but single-model and single-run evaluations provide limited evidence for assessment use. Sho…
Why Organizational Rules Fail AI: O-I-B-A-R and the Externalization of Decision Boundaries
Chao Li, Chunyi Zhao
AI systems increasingly enter organizations through policies, procedures, playbooks, prompts, and other explicit representations of work. Yet formal descriptions often differ from…
Structural Dissolution: How Artificial Intelligence Dismantles Coordination Architecture and Reconfigures the Political Economy of Production
Chao Li, Chunyi Zhao
This paper introduces the Structural Dissolution Framework to explain how artificial intelligence restructures the coordination architecture of traditional industries. We argue tha…
Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning
Chao Li, Yuru Wang, Chunyi Zhao
We establish a computation-substrate-agnostic inference architecture in which domain is an explicit first-class computational parameter. This produces domain-scoped pruning that re…
Domain-constrained knowledge representation: A modal framework
Chao Li, Yuru Wang, Chunyi Zhao
Knowledge graphs store large numbers of relations efficiently, but they remain weak at representing a quieter difficulty: the meaning of a concept often shifts with the domain in w…
How should AI knowledge be governed? Epistemic authority, structural transparency, and the case for open cognitive graphs
Chao Li, Chunyi Zhao, Yuru Wang +1
Through widespread use in formative assessment and self-directed learning, educational AI systems exercise de facto epistemic authority. Unlike human educators, however, these syst…
Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation
Chao Li, Yuru Wang
Traditional knowledge graphs are constrained by fixed ontologies that organize concepts within rigid hierarchical structures. The root cause lies in treating domains as implicit co…
A Self-Evolving AI Agent System for Climate Science
Zijie Guo, Jiong Wang, Fenghua Ling +19
Scientific progress in Earth science depends on integrating data across the planet's interconnected spheres. However, the accelerating volume and fragmentation of multi-sphere know…