NLPExplorer

KaLLM - 2024

Total Papers:- 14

Total Papers accross all years:- 14

Total Citations :- 0

Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024)

Application of Generative AI as an Enterprise Wikibase Knowledge Graph Q&A System

Renê Mendes | Dimas Oliveira | Victor Garcia |

Fine-tuning Language Models for Triple Extraction with Data Augmentation

Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters

Daniil Gurgurov | Mareike Hartmann | Simon Ostermann |

Multi-hop Database Reasoning with Virtual Knowledge Graph

HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation

Azmine Toushik Wasi |

Improving LLM-based KGQA for multi-hop Question Answering with implicit reasoning in few-shot examples

Mili Shah | Jing Tian |

Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models

Educational Material to Knowledge Graph Conversion: A Methodology to Enhance Digital Education

Miquel Canal-Esteve | Yoan Gutierrez |

KGAST: From Knowledge Graphs to Annotated Synthetic Texts

Nakanyseth Vuth | Gilles Sérasset | Didier Schwab |

Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs

Moy Yuan | Andreas Vlachos |

Analysis of LLM’s “Spurious” Correct Answers Using Evidence Information of Multi-hop QA Datasets

Ai Ishii | Naoya Inoue | Hisami Suzuki | Satoshi Sekine |

STAGE: Simplified Text-Attributed Graph Embeddings using Pre-trained LLMs

Aaron Zolnai-Lucas | Jack Boylan | Chris Hokamp | Parsa Ghaffari |

Ontology-guided Knowledge Graph Construction from Maintenance Short Texts

Zeno Cauter | Nikolay Yakovets |