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Self-evaluation on HelpSteer2 (val)

Self-evaluation on HelpSteer2 (val)

87.8Top-5 AccuracySEE

Updated 4mo ago

Evaluation results

Method	Links
SEE2026.06		87.8
Adapted RLCR2026.06		80
Qwen2-7B2026.06		77.1

State-of-the-art paper

SEE

Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

Dataset

Helpsteer2

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Related benchmarks

Instruction Following Evaluation on HelpSteer2 (val)LLM Evaluation on AlpacaEval 2.0 (Quality and Calibration)LLM Evaluation on Arena-Hard v2.0 LLM Evaluation on WildBench v2 Self-evaluation on Arena-Hard v2.0

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