RESEARCHMonitorWATCHLIST
LLJ Cards: Best practices for the Use of LLMs as Judges
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research published on arXiv introduces frameworks and best practices for addressing biases in LLM-based evaluation systems.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 22 September 2026
- Collected by OneBench
- 23 Sept 2026, 03:01 UK
- Original headline
- LLJ Cards: Best practices for the Use of LLMs as Judges ↗
Stored source excerpt
arXiv:2609.24516v1 Announce Type: new Abstract: In recent years, large language models (LLMs) have emerged as a popular alternative for evaluation. Often referred to as LLMs…
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