Introduces a taxonomy and dialogue act schema for bidirectional conceptual alignment in human-robot interaction dialogues.
Concept alignment
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
AI models misalign with humans on concept boundaries when probed with implausible category members, such as classifying words as vehicles or vegetables as fruit.
MedMSA framework retrieves knowledge via language models then builds formal probabilistic models to produce uncertainty-weighted differential diagnoses from symptoms.
citing papers explorer
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A Taxonomy of Conceptual Alignment in Human-Robot Dialogue
Introduces a taxonomy and dialogue act schema for bidirectional conceptual alignment in human-robot interaction dialogues.
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Investigating Concept Alignment Using Implausible Category Members
AI models misalign with humans on concept boundaries when probed with implausible category members, such as classifying words as vehicles or vegetables as fruit.
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Medical Model Synthesis Architectures: A Case Study
MedMSA framework retrieves knowledge via language models then builds formal probabilistic models to produce uncertainty-weighted differential diagnoses from symptoms.