ZJUKG
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- KAG-ZJU Public Forked from OpenSPG/KAG
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
zjukg/KAG-ZJU’s past year of commit activity - MyGO Public
[Paper][AAAI 2025] (MyGO)Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
zjukg/MyGO’s past year of commit activity - OntoTune Public
[Paper][WWW2025] OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
zjukg/OntoTune’s past year of commit activity - MoMoK Public
[Paper][ICLR 2025] Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
zjukg/MoMoK’s past year of commit activity - M3STR Public
Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation
zjukg/M3STR’s past year of commit activity - KG-LLM-Papers Public
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
zjukg/KG-LLM-Papers’s past year of commit activity - HyperSAT Public
zjukg/HyperSAT’s past year of commit activity - LPKG Public
zjukg/LPKG’s past year of commit activity - SUBARU Public
[ACL 2025 Main] Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
zjukg/SUBARU’s past year of commit activity
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