CriterionSI infers clustering criteria from sequential user drags via LLMs to produce progressively aligned image cluster layouts.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.HC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLM-augmented semantic steering lets analysts reshape text embedding projections by providing semantic groupings that an LLM externalizes and extends to improve alignment with intended structures using minimal interaction.
citing papers explorer
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Drag, Infer, Reproject: Grounding LLMs through Spatial Interaction for Image Clustering
CriterionSI infers clustering criteria from sequential user drags via LLMs to produce progressively aligned image cluster layouts.
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LLM-Augmented Semantic Steering of Text Embedding Projection Spaces
LLM-augmented semantic steering lets analysts reshape text embedding projections by providing semantic groupings that an LLM externalizes and extends to improve alignment with intended structures using minimal interaction.