🤖AI Summary
Researchers evaluated five Multimodal Large Language Models (MLLMs) on their ability to reason about social norms in both text and image scenarios. GPT-4o performed best overall, while all models showed superior performance with text-based norm reasoning compared to image-based scenarios.
Key Takeaways
- →MLLMs demonstrate better norm reasoning capabilities in text-based scenarios than image-based ones.
- →GPT-4o outperformed other models in both text and image modalities for social norm reasoning.
- →The free model Qwen-2.5VL showed promising performance as the second-best option.
- →All evaluated models struggled with reasoning about complex social norms.
- →The research suggests potential for integrating advanced MLLMs with Multi-Agent Systems for social interactions.
Mentioned in AI
Models
GPT-4OpenAI
#multimodal-ai#language-models#social-reasoning#gpt-4o#multi-agent-systems#norm-reasoning#qwen#mllm#research#evaluation
Read Original →via arXiv – CS AI
Act on this with AI
Stay ahead of the market.
Connect your wallet to an AI agent. It reads balances, proposes swaps and bridges across 15 chains — you keep full control of your keys.
Related Articles