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#artificial intelligence Preprint Sep 2026

Bad Genius: Counterfactual-Guided Harness Evolution Beyond Task-Specific Shortcuts

This work introduces Counterfactual Harness Search and Evolution (CHASE), which casts harness evolution as constraint generation over valid counterfactual benchmarks and formalizes an ideal shortcut-neutralized benchmark $B_0$ and establishes theoretical guarantees linking finite counterfactual archives to $B_0$ and ch...

Guo-Jun Zhu, Xu Huang, Peng Yin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied Intelligence

Vision-language-action (VLA) models, world-action models (WAMs), and offline reinforcement learning methods are rapidly expanding the design space of embodied policies, yet turning these algorithms into reliable robot systems remains constrained by fragmented data formats, training stacks, evaluation protocols, inferen...

Yin-Hao Li, Wei-Xin Mao, Zi-Han Lan et al. · 1 citation

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