๐Ÿšจ Your RL only improves ๐—ฝ๐—ฎ๐˜€๐˜€@๐Ÿญ, not ๐—ฝ๐—ฎ๐˜€๐˜€@๐—ธ? ๐Ÿšจ Thatโ€™s not a bug โ€” itโ€™s a ๐—ณ๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ผ๐—ฏ๐—ท๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ youโ€™re optimizing. You get what you optimize for. If you want better pass@k, you need to optimize for pass@k at training time. ๐Ÿงต How?
Replying to @KunhaoZ
Is anyone working to make this an inference-time tradeoff? I.e. a system parameter analogous to temperature but for "candidate solution space" rather than token space, where 0 is maximum pass@1?

Apr 28, 2025 ยท 3:15 AM UTC

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