arXiv (All)
open access
ToMigo: Interpretable Design Concept Graphs for Aligning Generative AI with Creative Intent
Generative AI often produces results misaligned with user intentions, for example, resolving ambiguous prompts in unexpected ways. Despite existing approaches to clarify intent, a major challenge remains: understanding and influencing AI's interpretation of user intent through simple, direct inputs
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Flawed but Memorable: Student Critical Reception of Interest-Personalized GenAI Analogies in Computing Education#973702
- Generative Flow on Symbolic Abstractions for Embodiment Capability Discovery#1342051
- Generative AI Literacy: Twelve Defining Competencies#976432
- Projecting the Emerging Mindset of SWE Agent by Launching a Wild Code Understanding Journey#267724
- Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question Answering#1355021
Record · ID 1328379
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive