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Dengzhe Hou

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#artificial intelligence Preprint Mar 2026

WMIP: A Working-Memory-Inspired Programmable Probe of Cumulative State Tracking in Large Language Models

This work introduces a working-memory-inspired probe of cumulative state tracking with program-computed answers, 3 to 100 updates, and final-state, intermediate-state, or multi-target queries and compares protocols on identical items.

Deng-Zhe Hou, Ling-Yu Jiang, Deng-Jie Li et al. · 5 citations

CogArena: A Multimethod Evaluation of Cognitive Ability Structure in Large Language Models

CogArena is introduced, a procedurally generated 13-paradigm benchmark built around a multimethod framework for determining when cognitive-task scores warrant dimensional labels across five theory-motivated groupings, and theory-aligned prompting produces a small in-battery diagonal tendency, but the present evidence d...

Dengzhe Hou, Lingyu Jiang, Fangzhou Lin et al. · 0 citations

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