How SAFE Performs Compared to Human Annotations
hackernoon.comThis 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
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
9 Conclusion, Acknowledgments, Author Contribution, and References
Appendix
A FREQUENTLY ASKED QUESTIONS
A.1 CAN ...
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