Author

Xing-Kun Yin

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#artificial intelligence Jan 2026

GLOVE: Global Verifier for LLM Memory-Environment Realignment

The Global Verifier (GLOVE) is proposed, a framework that introduces a new design dimension for LLM memory systems by establishing a relative notion of truth and substantially improves agent success rates, suggesting a robust pathway to cognitive agents capable of self-evolving.

Xing-Kun Yin, Hong-Yang Du · arXiv.org · 2 citations

#artificial intelligence Preprint Sep 2026

Carnator: Fast Text-to-Video Generation with Generation-Native Compatibility-Guided Cross-Request Reuse

Across three text-to-video backbones, Carnator consistently achieves higher cache-hit end-to-end acceleration than the evaluated cross-request baselines despite more selective cache acceptance, reaching up to 2.17 times speedup while maintaining competitive generation quality.

Xing-Kun Yin, Xue-Bin Tang, Ming-Kun Xu et al. · 0 citations