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StateSwap: Probing Support-Elimination Hidden States in Multiple-Choice Questions

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Large language models often answer the same multiple-choice question inconsistently when it is posed under support-oriented and elimination-oriented framings. We investigate whether these discrepancies arise from different internal representations induced by the two framings. We introduce a dual-framing protocol with minimally varied prompts that use either support- or elimination-oriented framing while keeping the evaluation target fixed. To probe the internal computation, we append an untrained special token, [STATE], and treat its residual-stream activation as an intervention interface. Acr

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