arXiv (All)
open access
OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in emotional intelligence. However, prevailing research predominantly focuses on task-specific specialization, often neglecting inter-task synergy and leaving latent reasoning potential underexplored. To bridge this g
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
- Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning#1131983
- Advancing conversational diagnostic AI with multimodal reasoning.#219080
- World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning#798936
- World Models Meet Language Models: On the Complementarity of Concrete and Abstract Reasoning#797522
- Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict#819989
Record · ID 974520
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