Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines (2026.findings-acl)
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| Challenge: | a large number of alignment tuning literature is organized around optimization objectives, but the construction of alignment data is often treated implicitly. |
| Approach: | They propose to decompose alignment data construction into three interacting stages . they identify recurring design trade-offs and failure modes observed across prior alignment methods . |
| Outcome: | The proposed framework identifies recurring design trade-offs and failure modes observed across prior alignment methods and outlines open challenges for alignment data pipelines including prompt-level alignment, agentic settings, and alignment under evolving objectives. |
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