How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism

Elisabetta Rocchetti, Alfio Ferrara


Abstract
Instruction tuning is commonly assumed to endow language models with a domain-general ability to follow instructions, yet the underlying mechanism remains poorly understood. Does instruction-following rely on a universal mechanism or compositional skill deployment? We investigate this through diagnostic probing across nine diverse tasks in three instruction-tuned models.

Our analysis provides converging evidence against a universal mechanism. First, general probes trained across all tasks show selective rather than uniform deficits relative to task-specific specialists, indicating that representational sharing is partial and structured rather than global. Second, cross-task transfer is weak and clustered by skill similarity. Third, causal ablation reveals sparse asymmetric dependencies rather than shared representations. Tasks also stratify by complexity across layers, with structural constraints emerging early and semantic tasks emerging late. Finally, temporal analysis shows that the constraint signal becomes decodable only once generation is under way, and remains so throughout the response.

These findings indicate that instruction-following is better characterized as skillful coordination of diverse linguistic capabilities rather than deployment of a single abstract constraint-checking process.
Anthology ID:
2026.emnlp-main.453
Volume:
Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:
EMNLP
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SIGDAT
Publisher:
Association for Computational Linguistics
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Pages:
10416–10432
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URL:
https://aclanthology.org/2026.emnlp-main.453/
DOI:
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Cite (ACL):
Elisabetta Rocchetti and Alfio Ferrara. 2026. How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, pages 10416–10432, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism (Rocchetti & Ferrara, EMNLP 2026)
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https://aclanthology.org/2026.emnlp-main.453.pdf