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How SAFE Performs Compared to Human Annotations


by Language Models (dot tech) April 10th, 2025

This FAQ section addresses common queries related to the reproducibility of results, the SAFE evaluation system, common causes of errors in AI and human annotations, and the impact of recall and postambles on model performance. It also discusses the exclusion of LongFact-Concepts from benchmarking and how these findings can be applied to other domains.

Table of Links

Abstract and 1 Introduction

2 LongFact: Using LLMs to generate a multi-topic benchmark for long-form factuality

3 Safe:LLM agents as factuality autoraters

4 LLMs agents can be better factuality annotators than humans

5 F1@k: Extending F1 with recall from human-preferred length

6 Larger LLMs are more factual

7 Related Work

8 Limitations

9 Conclusion, Acknowledgments, Author Contribution, and References

Appendix

A. Frequently asked questions

B. LongFact details

C. SAFE details

D. Metric details

E. Further analysis

A FREQUENTLY ASKED QUESTIONS

A.1 CAN ...


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