AI RESEARCH
Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction
arXiv CS.AI
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ArXi:2604.19971v1 Announce Type: cross Interactive spatial layouts empower users to synthesize information and organize findings for sensemaking. While Large Language Models (LLMs) can automate narrative generation from spatial layouts, current collage-based and re-generation methods struggle to the incremental spatial refinements inherent to the sensemaking process. We identify three critical gaps in existing spatial-textual generation: interaction-revision misalignment, human-LLM intent misalignment, and lack of granular customization. To address these, we.