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Jia-Kang Xu

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#artificial intelligence Preprint Sep 2026

GRACE: Grounded Adversarial Reasoning over Canadian Law

Large language models have shown strong performance across a range of legal tasks, but existing benchmarks rarely evaluate the ability to take and defend a legal position, reason under incomplete information, or synthesize multiple statutory provisions. This gap is particularly pronounced for Canadian law, which remain...

Jia-Kang Xu, Wan-Tong Huo, Udom Silparcha et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Bioinfoysis Technical Report

A multi-agent harness that represents each request as a persistent, artifact-grounded analysis run, and demonstrates that reliable bioinformatics automation depends not only on model capability, but also on the harness that governs planning, execution, memory, and evidence flow.

Qi Shao, Xin Zhang, Zhou-Yang Yuan et al. · 0 citations

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