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ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
arXiv:2510.09711v2 Announce Type: replace Abstract: Large Language Models (LLMs) have recently emerged as a powerful paradigm for Knowledge Graph Completion (KGC), offering strong reasoning and generalization capabilities beyond traditional embedding-based approaches. However, existing LLM-based methods often struggle to fully exploit structured semantic representations, as the continuous embedding space of pretrained KG models is fundamentally misaligned with the discrete token space of...
Spyro the Dragon returns with a new game after almost two decades
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Spyro the Dragon returns with a new game after almost two decades
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LimeWire AI Studio Review 2023: Details, Pricing & Features
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The Guardian view on the splinternet: where China led, Iran and others are eagerly following | Editorial
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Inside Obama’s ‘first of its kind’ presidential museum with life-sized Oval Office replica and personal touches
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A Chinese robotics start-up beat Nvidia on a global AI ranking. Is a new tech war brewing?
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‘I found a place’: how Backrooms captures the horror of sinister architecture
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First quantum grandfather clock could probe where gravity comes from
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