Papers with human alignment methods

2 papers
A Practical Analysis of Human Alignment with *PO (2025.findings-naacl)

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Challenge: Prior research focused on identifying the best-performing method to varying hyperparameters . prior research focused primarily on a grid search, which can be impractical for general practitioners .
Approach: They propose a preference optimization method that is more stable across hyperparameters and reduces the average response length.
Outcome: The proposed method increases likelihood of achieving better results through various metrics, such as KL divergence and response length.
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning (2025.findings-acl)

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Challenge: Existing methods for analyzing and analyzing large language models (LLMs) lack of emotion and fine-grained role awareness limits the model’s ability to provide personalized and diverse interactions further.
Approach: They propose an annotation-free framework to align LLMs’ behavior during role-playing, enhancing the model’s role consistency.
Outcome: The proposed framework outperforms vanilla LLMs under automatic evaluation methods and human expert evaluation.

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