evaluation protocol
An evaluation protocol outlines the specific procedures and guidelines for assessing an AI model's performance, ensuring consistency and reproducibility in results when comparing different approaches.
- A Clean Slate for Offline Reinforcement Learning
- A Clean Slate for Offline Reinforcement Learning
- A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking
- C-SEO Bench: Does Conversational SEO Work?
- Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
- RoboCerebra: A Large-scale Benchmark for Long-horizon Robotic Manipulation Evaluation
- StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
- Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation
- The Fragile Truth of Saliency: Improving LLM Input Attribution via Attention Bias Optimization