CriterionSI infers clustering criteria from sequential user drags via LLMs to produce progressively aligned image cluster layouts.
Image clustering con- ditioned on text criteria.arXiv preprint arXiv:2310.18297,
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A hybrid LLM agent framework performs universal image clustering by generating guideline-aware embeddings via concept proxies and using MST-based LLM traversal for automatic discovery.
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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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Universal Guideline-Driven Image Clustering via a Hybrid LLM Agent
A hybrid LLM agent framework performs universal image clustering by generating guideline-aware embeddings via concept proxies and using MST-based LLM traversal for automatic discovery.