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The paper investigates convergence issues in Relational Concept Analysis when using AOC-posets, identifies conditions for convergence, and proposes a convergent variant of the process.
This paper introduces ConceptFlow, a scikit-learn-compatible Python library for Formal Concept Analysis that generates nested line diagrams, applied to analyze voting patterns and musical characteristics of Eurovision Song Contest winners.
This paper proposes a retrieval-grounded small language model framework that uses formal concept analysis as a symbolic verification loop for ontology construction, demonstrating its effectiveness in a rare ataxia setting.
ContextRAG introduces an extraction-free method for constructing hierarchical graph indices for retrieval-augmented generation, using Residual-Quantization K-Means and Formal Concept Analysis to reduce LLM calls and tokens by orders of magnitude while maintaining competitive F1 scores on multi-hop questions.