Papers with generic evaluation framework

2 papers
Can ChatGPT Assess Human Personalities? A General Evaluation Framework (2023.findings-emnlp)

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Challenge: Existing studies study the virtual personalities of LLMs but rarely explore the possibility of analyzing human personalities via LLM.
Approach: They propose to use Myers–Briggs Type Indicator (MBTI) tests to generate unbiased prompts and replace the subject in question statements to enable flexible queries and assessments.
Outcome: The proposed framework enables LLMs to flexibly assess personalities of different groups of people.
Perturbation Sensitivity Analysis to Detect Unintended Model Biases (D19-1)

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Challenge: Recent research shows that data-driven NLP models may inadvertently capture, reflect and sometimes amplify various social biases present in the language data they are trained on.
Approach: They propose a generic evaluation framework that detects unintended model biases related to named entities and requires no new annotations or corpora.
Outcome: The proposed framework detects unintended model biases related to named entities and requires no new annotations or corpora.

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