Can MLLMs Decode the Creative Leap? Introducing C4 for Cross-Concept Understanding
Ming Wang, Yuqing Zhang, Tingna Xie, Xiangju Li, Xiaocui Yang, Daling Wang, Shi Feng, Yifei Zhang
cs.AI, cs.CL, cs.MM
Submitted: 2026-08-06
Updated: 2026-08-10
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
- MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
- MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
- CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
- REBUS: A Robust Evaluation Benchmark of Understanding Symbols
- OpenAI GPT-5 System Card
- Kimi K2.5: Visual Agentic Intelligence
- MiMo-V2-Flash Technical Report
- GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- Gemma 3 Technical Report
- NVIDIA Nemotron Nano V2 VL
- Qwen3-VL Technical Report
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