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#large language models Open access Sep 2026

Adaptive multi-format synergistic table understanding framework for large language models

The proposed Adaptive Multi-Format Synergistic Table Understanding framework effectively alleviates the core bottlenecks in table understanding, and achieves synergistic improvements in both accurate evidence localization and precise arithmetic computation.

Feng-Juan Zhang, Gang Zhou, Zhu-Feng Li et al. · 0 citations
Open access Aug 2026

SynAlign: cross-curvature synergistic Euclidean–hyperbolic entity alignment for knowledge graphs

Entity alignment is a fundamental step for knowledge graph (KG) integration, yet the complex and heterogeneous structures of real-world KGs make accurate alignment particularly challenging. KG entity alignment faces two main challenges. First, representations learned in a single Euclidean or hyperbolic space struggle t...

Teng Fu, Gang Zhou, Chao Zhang · 0 citations

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