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LLM explanation faithfulness varies wildly depending on how you test it, and might even be *anti*-faithful, so stop relying on single-intervention benchmarks.
LLMs are far more susceptible to authority and framing biases than the field's obsession with demographic bias suggests.
Machine-learned interatomic potentials miss 93% of stable materials, but a new auditing framework closes this gap and boosts discovery yield by 25%.