RAIM: Robust Aggregation of Inexpensive Models for Hallucination Detection
cs.CL, cs.AI, cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/eOnofri04/raim-verdicts
Project page: https://llm-aggrefact.github.io
Terminology
Sources
- Yi: Open Foundation Models by 01.AI
- Quantifying Diversity of Thought: A Predictive Law of Weighted LLM Ensemble Lift
- Dependence-Aware Label Aggregation for LLM-as-a-Judge via Ising Models
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- A comprehensive taxonomy of hallucinations in Large Language Models
- Gemma 2: Improving Open Language Models at a Practical Size
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- Great Models Think Alike and this Undermines AI Oversight
- Cost-Effective Automated Judging of Natural-Language Mathematical Proofs
- Judge's Verdict: A Comprehensive Analysis of LLM Judge Capability Through Human Agreement
- Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure
- Agreement Overstates Evidence: Error Dependence in LLM Judge Consensus
- Unsupervised Ensemble Learning with Dependent Classifiers
- Mistral 7B
- Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
- Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles
- Correlated Errors in Large Language Models
- Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
- Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
- LettuceDetect: A Hallucination Detection Framework for RAG Applications
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