titleCross-Prompt Reuse of Entity-Replacement Responses
authorsJinkun Chen, Xuemin Yu, Sijia Han, Vlado Keselj
date2026-10-30
venuearXiv (preprint, not peer reviewed)
idarXiv:2611.00352
upvotes1 (Hugging Face Daily Papers, 2026-11-05)
linksabs pdf hf
cite
abstractWith model weights fixed, we measure how much of an entity-replacement response transfers between English factual questions, beyond whether answers change. We add the hidden-state change from two source questions to a target question about the same entity, comparing the predicted log-probability shift between two relations' published answers, given known answer prefixes, with the measured one. Hidden reuse injects the aligned change at 50% depth before the target's remaining layers; direct reuse adds source output-score changes. With other-relation sources, hidden reuse removes 45% and 49% of no-change error on 0.5-1B Qwen and Llama. Gemma-2-2B removes 22% and passes one of three comparisons in plain text without its default beginning-of-sequence (BOS) token. A later protocol restoring it yields 58-68%, passing every comparison on three cohorts. Larger checkpoints, chat format and new entities show replication and format- or cohort-dependent failures. On small plain-format checkpoints, other-relation hidden reuse mainly reproduces the shift both relations' questions share, without reliably lowering relation-selective error. With target-relation sources, hidden reuse's post hoc advantage over direct reuse is 0.2-0.9 nats outside chat format, unconfirmed and not replacement-specific. The same relation-neutral change at both questions' entity tokens lowers relation-selective error more than random or other-replacement changes, indicating receiving-question dependence.

bibtex

@misc{chen2026cross,
  title={Cross-Prompt Reuse of Entity-Replacement Responses},
  author={Jinkun Chen and Xuemin Yu and Sijia Han and Vlado Keselj},
  year={2026},
  eprint={2611.00352},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2611.00352}
}