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cs.AI2026

The Architect, the Adversary, and the Judge: Closed-Loop Generation of Standards-Aligned Assessment Items at Scale

Wenhui Chen, Ziyao Lin, Jianlin Chen +2

We present CLAIM, a production pipeline for K-12 assessment-item generation coupling a two-stage generate-then-attack protocol (the model drafts as a "curriculum architect", then r…

cs.AI2026

A Judge Should Know What Changed:Construct Validity for LLM-as-a-Judge Evaluation

Jianlin Chen, Wenhui Chen, Ziyao Lin +1

LLM-as-a-judge evaluation is usually assessed by agreement and robustness to surface perturbations, but reliability does not establish construct validity. We formalize construct va…

cs.AI2026

Budget-Constrained Embodied Perception: Four Resource Walls and a Pre-Registered Evaluation of Access-Structured Perception on Open Models at less than 31B

Defu Lin, Wenhui Chen, Ziyao Lin +3

Embodied multimodal agents must answer from growing observation streams under a fixed per-decision token budget. We formalize this constraint through four resource walls: a percept…

cs.AI2026

The Free-Recipe Limit: Every Recipe Effect Measures Which Premise of an Idealised Learner Broke

Wenhui Chen, Jianlin Chen, Ziyao Lin +1

Fix a corpus and send recipe search to infinity: try every order of the skills, every arrangement from blocked to interleaved, every composition, and keep the best. Two quantities…

cs.AI2026

Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets

Wenhui Chen, Jianlin Chen, Ziyao Lin +2

Language models are increasingly promoted from examinees to examiners: they write the test suites, answer keys, rubrics, and reward functions that define correctness for other syst…

cs.AI2026

Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable

Wenhui Chen, Jianlin Chen, Ziyao Lin +1

When a self-improving AI-for-science system claims a new capability, the evidence is usually a benchmark delta, a description-length gate, or a p-value. None separates a real gain…

cs.AI2026

The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale

Wenhui Chen, Jianlin Chen, Ziyao Lin +1

The Platonic Representation Hypothesis (PRH) holds that as models scale, representations of heterogeneous networks converge toward a shared model of reality. We propose its sequel…