Author

Zhi Zhou

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Preprint Sep 2026

LookStep: Efficient Vision-Language Navigation with Linguistic Foresight and Event Driven Memory

LookStep is proposed, a unified end-to-end framework that combines Language Centric Future State Modeling and Event Driven Rolling Memory that uses language labels to generate coarse-grained navigation progress and future states for each candidate action, while autonomously deciding whether to write each observation in...

Kun-Yang Yu, Ying-Zhe Li, Hongyu Xu et al. · 2 citations

Preprint Aug 2026

Self-Evolving Neuro-Symbolic Skills for Tool-Augmented Spatial Reasoning

Experiments show that NeSy-Spatial consistently improves reasoning accuracy with more precise tool utilization, and is proposed as a neuro-symbolic framework for self-evolving spatial skills.

S. Tian, Zhuoxi Wang, Xuan Zhu et al. · 2 citations

#machine learning Preprint Aug 2026

SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature Engineering on Tabular Data

This paper combines symbolic regression with LLMs for feature engineering (SymboLLM-FE) to solve the dual challenges of poor interpretability and numerous iterations by employing a statistical prior-grounded LLM refinement mechanism and single-digit LLM calls.

Zi-Jian Cheng, Zi-Yi Jia, Zhi Zhou et al. · 0 citations