Is self-evaluation the blind spot of AI? Or can we trust LLMs to judge themselves?
I benchmarked evaluation models/methods like LLM-as-a-judge, HHEM, Prometheus, Lynx, TLM across 6 RAG applications.
Evaluation models work surprisingly well in practice.
I hope continued research into reference-free evaluations helps users gain more confidence in their AI-generated outputs.
Is self-evaluation the blind spot of AI? Or can we trust LLMs to judge themselves? I benchmarked evaluation models/methods like LLM-as-a-judge, HHEM, Prometheus, Lynx, TLM across 6 RAG applications.
Evaluation models work surprisingly well in practice.
I hope continued research into reference-free evaluations helps users gain more confidence in their AI-generated outputs.