Author

Zi-Ming Liu

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Preprint Aug 2026

Beyond Local Surprise: Grounded Dialogue as Selective Belief Revision under Referential Uncertainty

When a speaker refers to a scene that the listener cannot directly see, the listener must decide whether to preserve its current understanding or revise it as new utterances arrive. Many language systems treat local mismatch as a cue for updating: divergence from the current understanding encourages adjustment. Yet con...

Zi-Ming Liu, Bhanu Chaitanya Jasti, Zijian Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

ArchitectureIQ: On the Measure of Training Intuition

Top researchers have good intuition, but do language models have as good intuition about model training as top AI researchers? To measure model intuition of LLMs and humans, we introduce the ArchitectureIQ benchmark. Each question presents a synthetic dataset and several training recipes, and the test-taker is asked to...

Zi-Rui Ren, Shao-Yang Guo, Chen-Cheng Tang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Clearing the Fog: Towards Installing and Refining Proactive Exploration Capabilities in LLM Agents

This work proposes \the authors', a novel method designed to instill and refine proactive exploration in LLM agents, which consists of two components: Exploratory Data Construction, which synthesizes exploration-rich trajectories to mitigate the hindsight bias of standard demonstrations; and RL Optimization with Contra...

Zhizhao Guan, Chen Huang, Zi-Ming Liu et al. · 1 citation