Robust reward models are critical for alignment/inference-time algos, auto eval, etc. (e.g. to prevent reward hacking which could render alignment ineffective). ⚠️ But we found that SOTA RMs are brittle 🫧 and easily flip predictions when the inputs are slightly transformed 🍃 🧵
