Self-Anchoring Calibration Drift in Large Language Models: How Multi-Turn Conversations Reshape Model Confidence

Self-Anchoring Calibration Drift in Large Language Models: How Multi-Turn Conversations Reshape Model Confidence explores Explore how large language models adjust their confidence over multiple conversation turns with Self-Anchoring Calibration Drift analysis.. Commercial viability score: 2/10 in LLM Evaluation.