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Localizing Anchoring Pathways in Language Models

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arXiv:2606. 12818v1 Announce Type: new Abstract: Irrelevant numbers in a prompt can shift language model judgments, producing anchoring effects in numerical reasoning.

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Authors: Hillary N. Owusu, Sarah Wiegreffe, Naomi H. Feldman
Released: 2026-06-12 (27d ago)
Topic: Related to current project
Relation to my work: Read next because Localizing Anchoring Pathways in Language Models overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, rect, correct, control, full, language, model. Source: arxiv cs.CL (NLP).
arXiv: 2606.12818

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