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Open Graph

title

Aligner: Achieving Efficient Alignment through Answer Correction

description

Aligner: Achieving Efficient Alignment through Answer Correction

image

site name

author

updated

2026-03-07 18:45:52

raw text

Aligner Paper Website ALIGNER description Paper code Code folder Data download Model quiz FAQ Contents Abstract Paradigm Structure & Methodology Interpretability Applications Results Overview Detailed Results FAQ Abstract With the rapid development of large language models (LLMs) and ever-evolving practical requirements, finding an efficient and effective alignment method has never been more critical. However, the tension between the complexity of current alignment methods and the need for rapid iteration in deployment scenarios necessitates the development of a model-agnostic alignment approach that can operate under these constraints. In this paper, we introduce Aligner , a novel and simple alignment paradigm that learns the correctional residuals between preferred and dispreferred answers using a small model. Designed as a mo...

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