GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding.
Jia-Chen GuZhen-Hua LingQuan LiuCong LiuGuoping HuPublished in: CoRR (2023)
Keyphrases
- multi party
- fine tuning
- privacy preserving
- human communication
- viable alternative
- fine tuned
- virtual humans
- turn taking
- description language
- fine tune
- graph theory
- bipartite graph
- graph structure
- weighted graph
- graph model
- structured data
- random walk
- social intelligence design
- fair exchange
- artificial intelligence
- multi issue
- virtual environment
- object oriented