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Author

Han Bao

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Preprint Jul 2026

MemoHarness: Agent Harnesses That Learn from Experience

MemoHarness is introduced, an adaptive harness optimization framework that learns from its own executions and improves over the fixed harnesses it is compared against and shows selective transfer to unseen suites and base models.

Yue Huang, Wenjie Wang, Han Bao et al. · 3 citations
Book Open access Aug 2026

AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering

AutoDavis is introduced, a first-of-its-kind automatic and dynamic evaluation protocol that enables on-demand benchmarking of LVLMs across specific capability dimensions and shows effectiveness and reliability, offering a new paradigm for dynamic benchmarking of multimodal intelligence.

Han Bao, Yue Huang, Yanbo Wang et al. · 0 citations