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OpenCompass Hub
U-NIAH
U-NIAH is a framework unifying RAG and LLM for needle-in-a-haystack tasks, based on the fictional Starlight Academy dataset. It eliminates interference from pre-trained knowledge and supports diverse, complex scenarios (e.g., multi-needle, long-needle, "needle-in-needle").
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- 同济大学
- Benchmark release
- 2025-03-01
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.