Anchoring Depends on Confidence and Post-Training in Language Models (2026.acl-short)
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| Challenge: | Existing work has demonstrated the presence of anchoring bias in large language models . Existing research does not predict when a model will be most susceptible to anchoring . |
| Approach: | They analyze anchoring bias as a function of model confidence and accuracy . they find that incorrect models resist anchoring as effectively as accurate ones . |
| Outcome: | The findings suggest that anchoring resistance is a structural property of uncertainty rather than knowledge correctness. |
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