Temporal Attractor Steering resolves 29-57% of parametric temporal conflicts in open-weight LLMs while preserving 85-99% accuracy on non-conflict queries.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =
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Right Knowledge, Wrong Answer: Test-Time Steering for Temporal Fact Conflicts in Open-Weight Language Models
Temporal Attractor Steering resolves 29-57% of parametric temporal conflicts in open-weight LLMs while preserving 85-99% accuracy on non-conflict queries.