GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding.
Stefan DernbachKhushbu AgarwalAlejandro ZunigaMichael HenrySutanay ChoudhuryPublished in: AAAI Spring Symposia (2024)
Keyphrases
- language model
- fine tuning
- domain knowledge
- language modeling
- graph model
- graph mining
- graph databases
- document retrieval
- graph properties
- graph partitioning
- n gram
- speech recognition
- graph data
- language modelling
- query expansion
- probabilistic model
- information retrieval
- statistical language models
- smoothing methods
- context sensitive
- retrieval model
- language modeling framework
- weighted graph
- query terms
- document ranking
- fine tuned
- test collection
- generative model
- pseudo relevance feedback
- link analysis
- ad hoc information retrieval
- graph theory
- language models for information retrieval
- query specific
- label propagation
- relevance model
- structured data
- feature selection
- search engine