Does UMBRELA Work on Other LLMs?
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Abstract (arXiv)
We reproduce the UMBRELA LLM Judge evaluation framework across a range of large language models (LLMs) to assess its generalizability beyond the original study. Our investigation evaluates how LLM choice affects relevance assessment accuracy, focusing on leaderboard rank correlation and per-label agreement metrics. Results demonstrate that UMBRELA with DeepSeek V3 obtains very comparable performance to GPT-4o (used in original work). For LLaMA-3.3-70B we obtain slightly lower performance, which further degrades with smaller LLMs.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Jul 2025.
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Citing papers per year: 2026: 2.
2 papers.
- 2026Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR Evaluationcited by 1
- 2026Re-Rankers as Relevance Judgescited by 0
- 2026Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR Evaluation11 Aug 2026
- 2026Re-Rankers as Relevance Judges8 Jan 2026