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Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs

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Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs
TL;DR · WeSearch summary

The paper explores the conflict between instruction-following and pattern-completion in language models. It examines how models respond to user instructions that conflict with hardcoded patterns. The findings indicate that instruction-following is inconsistent and highly dependent on the model and the nature of the instructions.

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Original publisherarXiv cs.AI
Canonical URLhttps://arxiv.org/abs/2605.20382
Publication timeFri, 22 May 2026 00:00:00 -0400
Retrieval time2026-05-22T04:02:00.009Z
Last seen2026-05-22T04:02:00.009Z
Headline sourcePublisher (no WeSearch rewrite)
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Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterxtTloXwA1WET
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Computation and Language arXiv:2605.20382 (cs) [Submitted on 19 May 2026] Title:Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs Authors:Carolina Camassa, Derek Shiller View a PDF of the paper titled Do as I Say, Not as I Do: Instruction-Induction Conflict in LLMs, by Carolina Camassa and 1 other authors View PDF HTML (experimental) Abstract:Language models are trained to follow instructions, but they are also powerful pattern completers. What happens when these two objectives conflict? We construct conversations in which a user instruction to behave in a target way T (e.g., always output a specific token, answer in a particular language, or adopt a persona) is opposed by N hardcoded assistant turns demonstrating a competing pattern P.

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

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