Benchmark Everything Everywhere All at Once
- Published
- Source
- arXiv
- Paper number
- 340
- Field
- AI / General
- arXiv ID
- 2606.06462
Key points
- It autonomously handles the full benchmark-building pipeline, from query analysis to quality control.
- It addresses the labor-intensive nature of existing benchmarks and the problem of rapid performance saturation.
- It successfully generated 15 benchmarks covering text, multimodal, and domain reasoning.
- Human evaluation and LLM-as-a-judge confirmed the high quality of the generated samples.
- Continuous evaluation uncovered domain-specific reasoning weaknesses in current models.
Paper links
External research summaries. These are not HDATF publications or measured product results.