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#artificial intelligence Preprint Sep 2026

RLHarness: Co-evolving Procedural Skills with Reinforcement Learning for Long-horizon Multimodal Reasoning

RLHARNESS is introduced, which organizes Skills, selection and execution protocols, few-shot demonstrations, and task contracts into a unified, versioned Harness and alternates Harness evolution with policy learning, showing that an evolving Harness complements RL by continually updating the external program that the p...

Zi-Qiao Shang, Zian Xu, Ji-Chen Yan et al. · 0 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

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