arXiv (All)
open access
Understanding Affective Adaptation in Multimodal Foundation Models: Emergent Functional Specialization
Despite rapid progress in multimodal affective foundation models, how affective capabilities emerge within their internal architectures remains poorly understood. A critical open question is whether affective fine-tuning induces diffuse changes across the model or organizes computation into function
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
- AffectDelta: Beyond Emotion Labels for Image Editing#924767
- AffectDelta: Beyond Emotion Labels for Image Editing#920533
- Hallucination in Multimodal Foundation Models: A Survey on Causes, Corrections, and Evaluations#1082919
- Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning#1131983
- Structural-Constructivist Affective Architecture: Systemic Integration, Mathematical Formalization, and Empirical Validation of the Core Emotion Framework#691385
Record · ID 1187299
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