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Found 5 papers, 2 papers with code
VCD: Knowledge Base Guided Visual Commonsense Discovery in Images
In this work, we draw inspiration from a commonsense knowledge base ConceptNet in natural language processing, and systematically define the types of visual commonsense.
A New Dialogue Response Generation Agent for Large Language Models by Asking Questions to Detect User's Intentions
Firstly, EDIT generates open questions related to the dialogue context as the potential user's intention; Then, EDIT answers those questions by interacting with LLMs and searching in domain-specific knowledge bases respectively, and use LLMs to choose the proper answers to questions as extra knowledge; Finally, EDIT enhances response generation by explicitly integrating those extra knowledge.
Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
To address the two problems, we propose a new CSKG completion framework based on Contrastive Pretraining and Node Clustering (CPNC).
Personality-aware Human-centric Multimodal Reasoning: A New Task, Dataset and Baselines
For another, the multimodal reasoning task emphasized the prediction of future states and behaviors but often neglected the incorporation of individual personality traits.
Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths
Both automatic and human evaluation on an annotated subgraph of ATOMIC demonstrate the advantage of Rel-CSKGC over strong baselines.
