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KG-Enhanced LLM Training

Integrating KGs into Training Objective

Contributors:

  • Diego Collarana (FIT)
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Integrating KGs into LLM Inputs (verbalize KG for LLM training)

Contributors:

  • Diego Collarana (FIT)
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Integrating KGs by Fusion Modules

Contributors:

  • Diego Collarana (FIT)
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Retrieval-Augmented Generation (RAG)

KG-Guided Retrieval Mechanisms

Contributors:

  • Daniel Burkhardt (FSTI)
  • Robert David (SWC)
  • Diego Collarana (FIT)
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Hybrid Retrieval Combining KGs and Dense Vectors

Contributors:

  • Daniel Burkhardt (FSTI)
  • Diego Collarana (FIT)
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KG-Enhanced Re-Ranking of Retrieved Information

Contributors:

  • Daniel Burkhardt (FSTI)
  • Diego Collarana (FIT)
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KG-Enhanced LLM Interpretability

KGs for LLM probing

KG-Based Analysis of Attention Patterns

Contributors:

  • Daniel Burkhardt (FSTI)
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Measuring KG Alignment in LLM Representations

Contributors:

  • Daniel Burkhardt (FSTI)
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KG-Guided Explanation Generation

Contributors:

  • Daniel Burkhardt (FSTI)
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KG-Based Fact-Checking and Verification

Contributors:

  • Daniel Burkhardt (FSTI)
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KG-Enhanced LLM Inference or Reasoning

KG-Guided Multi-hop Reasoning

Contributors:

  • Daniel Burkhardt (FSTI)
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Integrating Symbolic Reasoning with LLMs using KGs

Contributors:

  • Daniel Burkhardt (FSTI)
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KG-Based Consistency Checking in LLM Outputs

Contributors:

  • Daniel Burkhardt (FSTI)
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KGs for LLM Analysis

Using KGs to Evaluate LLM Knowledge Coverage

Contributors:

  • Daniel Burkhardt (FSTI)
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Analyzing LLM Biases through KG Comparisons

Contributors:

  • Daniel Burkhardt (FSTI)
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