Papers by Louis Tay

2 papers
Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination (2025.findings-naacl)

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Challenge: valence and arousal are functionally equivalent across social media platforms . americans display higher emotional intensity than Chinese users .
Approach: They compare valence and arousal on Twitter/X and Sina Weibo in China . they use the NRC-VAD lexicon to measure valance and valency .
Outcome: The results show that the valence and arousal of the two platforms differ across cultures . the analysis also shows that the US users display higher emotional intensity than Chinese users .
Robust Bias Detection in MLMs and its Application to Human Trait Ratings (2025.findings-naacl)

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Challenge: Existing methods to assess demographic bias in MLMs ignore random variability of templates and target concepts, and neglect bias quantification.
Approach: They propose a systematic statistical approach to assess bias in MLMs using mixed models to account for random effects, pseudo-perplexity weights for sentences derived from templates and quantify bias using statistical effect sizes.
Outcome: The proposed method matches on bias scores in magnitude and direction with small to medium effect sizes.

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