Verbalized Rejection Sampling reduces bias in LLM Bernoulli sampling by prompting the model to reason about and accept or reject proposed samples.
Evaluating binary decision biases in large language models: Implications for fair agent-based financial simulations
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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LLMs deviate from human moral preferences in kidney allocation scenarios and rarely express indecision, though low-rank fine-tuning with few examples can improve both consistency and uncertainty calibration.
citing papers explorer
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Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values
LLMs deviate from human moral preferences in kidney allocation scenarios and rarely express indecision, though low-rank fine-tuning with few examples can improve both consistency and uncertainty calibration.