Author

Mingjie Liu

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#artificial intelligence Preprint Sep 2026

Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents

Mid-Harness is introduced, which samples and verifies candidate actions before forwarding one for execution, while keeping the generator and harness unchanged, and identifies action scaling as a promising target for test-time compute scaling in terminal agents.

Minki Kang, Ryo Hachiuma, Shao-Kun Zhang et al. · 1 citation

Preprint Aug 2026

LUT: Latent Utility Training for Visual Reasoning

Experiments on perception-intensive visual reasoning benchmarks show that LUT outperforms previous latent reasoning methods and remains competitive with latent-text interleaved methods with lower annotation cost.

J. Kang, Siyue Chen, Ming-Da Li et al. · 1 citation