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Entity-replacement responses transfer across questions

Original title: Cross-Prompt Reuse of Entity-Replacement Responses

Hugging Face daily papersby Jinkun Chen, Xuemin Yu, Sijia Han ()1 min read1
AI summary · x-ai/grok-4.7Summaries by Vani AI

Hidden-state reuse removes 45-49% of no-change errors on 0.5-1B Qwen and Llama models for entity-replacement responses.

With fixed weights, entity-replacement responses transfer between questions. Hidden-state change adds aligned change at 50% depth. Removes 45% and 49% of no-change error on 0.5-1B Qwen and Llama. Gemma-2-2B passes comparisons after restoring BOS token. On small checkpoints, it reproduces shared shifts without reliably lowering relation-selective error.

Key facts
  • Hidden reuse removes 45% and 49% of no-change error on Qwen and Llama
  • Gemma-2-2B passes comparisons after restoring BOS
  • Other-relation sources mainly reproduce shared shifts
  • Relation-neutral change lowers relation-selective error more than random changes
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From the original article

1 min read at huggingface.co

With 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.

Hugging Face daily papers

By Jinkun Chen, Xuemin Yu, Sijia Han · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.