statistical analysis
Statistical analysis in AI involves the application of statistical methods to interpret, summarize, and draw conclusions from data. It is essential in understanding the efficacy of models and informing data-driven decisions.
- Fantastic Bugs and Where to Find Them in AI Benchmarks
- ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
- KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
- KTAE: A Model-Free Algorithm to Key-Tokens Advantage Estimation in Mathematical Reasoning
- Model Provenance Testing for Large Language Models
- On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
- UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models