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Cross-object alignment among geometrically similar interaction regions during training enables structures on unseen objects that resemble previously observed ones to produce representations similar to those learned during training, facilitating target-region recognition.
With the emergence of large language models (LLMs) as strong performers across diverse natural language tasks, high-stakes and knowledge-intensive domains such as law impose stricter requirements on factual reliability, norm-conformant application, and verifiable reasoning. Although existing Chinese legal evaluation be...
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