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Evaluative language in LLM-generated resume summaries can introduce significant biases that traditional fairness audits might miss, destabilizing hiring processes.
Instead of imitating reflections, LLM agents can be trained to reason about action quality by rewarding correct judgments between alternative actions, leading to improved performance and generalization.
