Papers by Cyril Leung

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.
Exploring Representation-level Augmentation for Code Search (2022.emnlp-main)

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Challenge: Recent data augmentations for code search are at the raw-data level, which requires additional code analysis and training cost.
Approach: They propose a general format of representation-level augmentation that unifies existing methods.
Outcome: The proposed methods can boost the performance of code search models on a large-scale dataset.

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