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Lexical Redefinition Reveals Context-Sensitive Instruction Following
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Roksana Goworek, Haim Dubossarsky

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ResearcharXiv cs.CL

Lexical Redefinition Reveals Context-Sensitive Instruction Following

arXiv:2610.16952v1 Announce Type: new Abstract: How do language models reconcile conflicting contextual evidence within a prompt? We study this question using lexical redefinition, where an explicit instruction specifies how a word should be interpreted and a subsequent sentence provides additional evidence through its usage. Across 870 word pairs, we find that lexical redefinitions are not applied as fixed rules. Instead, the behaviour depends systematically on the relationship between the explicit instruction and the intervening sentence: the contextualised usage can preserve, weaken, or completely reverse the instruction. These results suggest that the interpretation of an explicit instruction remains sensitive to subsequent contextual evidence. Lexical redefinition therefore provides a controlled behavioural paradigm for studying how language models integrate multiple sources of information within a prompt.

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This story was published by arXiv cs.CL and written by Roksana Goworek, Haim Dubossarsky. SyncAI.news shows a preview; the complete article is on the publisher's site.

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