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RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Researchers propose RAIM, an aggregation method combining 4-9B open models to reduce costs in LLM faithfulness evaluation.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 1 October 2026
- Collected by OneBench
- 2 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2609.39229v1 Announce Type: new Abstract: Automatic evaluation of faithfulness increasingly relies on a large language model acting as a judge, yet the most reliable judges…
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