PIGR (Post-hoc Iterative Graph Refinement), a trace-driven framework that explicitly aligns efficiency with observed search behavior, is introduced, which delivers 1.3x-2.5x speedups at near-exact recall across diverse datasets and index families, consistently outperforming the best build-time tuned baselines.
Zhiwei Zhang, Weiguo Zheng· Proceedings of the 32nd ACM...· 0 citations
This paper develops a comprehensive benchmark construction framework and constructs three diverse benchmark datasets and proposes a unified evaluation framework that assesses both linguistic quality and factual consistency, providing a comprehensive approach to evaluating generated summaries for content fidelity and ac...
Xiaoxuan Gou, Weiguo Zheng, Han-Qing Guo et al.· Proceedings of the 32nd ACM...· 0 citations
Graph-based approximate nearest neighbor search (ANNS) is widely used in vector databases and retrieval systems. Most existing methods typically rely on structure-driven index construction and tuning, building graph topologies that approximate idealized geometric archetypes to promote navigability. However, geometric p...
Zhiwei Zhang, Weiguo Zheng· Proceedings of the 32nd ACM...· 0 citations
This paper develops a comprehensive benchmark construction framework and constructs three diverse benchmark datasets and proposes a unified evaluation framework that assesses both linguistic quality and factual consistency, providing a comprehensive approach to evaluating generated summaries for content fidelity and ac...
Xiaoxuan Gou, Weiguo Zheng, Hanqing Guo et al.· Proceedings of the 32nd ACM...· 0 citations
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