closed-source models
Closed-source models are proprietary AI systems whose underlying architecture and training data are not publicly available, limiting transparency and accessibility.
- Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
- Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
- Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
- FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
- KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation
- RBench-V: A Primary Assessment for Visual Reasoning Models with Multimodal Outputs
- Unified Reinforcement and Imitation Learning for Vision-Language Models