Tag
This paper audits the reliability of LLM-as-judge evaluation by showing that changing the evaluator model can shift scores even when candidate responses are fixed, and it examines scaling and upgrade paths for Qwen3 and MiniMax models, concluding that judge upgrades are not interchangeable and proposing best practices for reporting.
This paper audits the measurement validity of representation metrics in grokking, showing that values at the grokking transition overstate converged circuit complexity and that compression lags generalization. It provides tooling to separate onset from compression and reports negative results on generality.