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Found 4 papers, 0 papers with code
Robust Knowledge Extraction from Large Language Models using Social Choice Theory
Large-language models (LLMs) can support a wide range of applications like conversational agents, creative writing or general query answering.
Geometric Relational Embeddings: A Survey
Geometric relational embeddings map relational data as geometric objects that combine vector information suitable for machine learning and structured/relational information for structured/relational reasoning, typically in low dimensions.
Hierarchical Multi-label Classification
Knowledge Graph Completion
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Modeling Relational Patterns for Logical Query Answering over Knowledge Graphs
However, the role of such patterns in answering FOL queries by query embedding models has not been yet studied in the literature.
Graph Attention with Hierarchies for Multi-hop Question Answering
Multi-hop QA (Question Answering) is the task of finding the answer to a question across multiple documents.
