We Are What We Repeatedly Do: Improving Long Context Instruction Following (2026.findings-eacl)
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| Challenge: | Large language model context lengths have increased by at least 1000 in the past seven years . however, longer contexts pose challenges to system instruction following . |
| Approach: | They propose to formalize verifiable instructions to evaluate model compliance . they implement and evaluate six mitigation strategies to enhance instruction compliance in extended contexts. |
| Outcome: | The proposed model performs better in long contexts than in natural language models. |
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