Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs | ScienceToStartup | ScienceToStartup

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References (30)

[1]

MKGL: Mastery of a Three-Word Language

2024Lingbing Guo, Zhongpu Bo et al.

[2]

Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning

2024Yichi Zhang, Zhuo Chen et al.

[3]

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge

Founder's Pitch

"KGT enhances knowledge graph completion by bridging the granularity mismatch with large language models using specialized tokenization and a relation-guided gating mechanism."

Knowledge Graphs•Score: 5•View PDF ↗

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Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs

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References (30)

Founder's Pitch

"KGT enhances knowledge graph completion by bridging the granularity mismatch with large language models using specialized tokenization and a relation-guided gating mechanism."

Commercial Viability Breakdown

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Tokenization, Fusion and Decoupling: Bridging the Granularity Mismatch Between Large Language Models and Knowledge Graphs

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References (30)

Founder's Pitch

"KGT enhances knowledge graph completion by bridging the granularity mismatch with large language models using specialized tokenization and a relation-guided gating mechanism."

Commercial Viability Breakdown

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