Papers by Garrick Sherman
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas (2024.findings-emnlp)
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Salvatore Giorgi, Tingting Liu, Ankit Aich, Kelsey Isman, Garrick Sherman, Zachary Fried, João Sedoc, Lyle Ungar, Brenda Curtis
| Challenge: | Large language models (LLMs) are increasingly being used in human-centered social scientific tasks, such as data annotation, synthetic data creation, and engaging in dialog. |
| Approach: | They propose to prompt LLMs with human-like personas and ask them to answer as if they were a specific human, either explicitly, with exact demographics, political beliefs, and lived experiences, or implicitly via names prevalent in specific populations. |
| Outcome: | The proposed model is based on explicit, explicit, and implicit personas, and fails to show implicit biases. |
Measuring the Language of Self-Disclosure across Corpora (2022.findings-acl)
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| Challenge: | Existing models that estimate self-disclosure from language are poorly generalized due to variations in corpora and labeling instructions. |
| Approach: | They build single-task models on five self-disclosure corpora and use them to predict self-declaration across corpors. |
| Outcome: | The proposed model predicts self-disclosure across corpora, but the results are poor for out-of-corpora models. |
Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination (2025.findings-naacl)
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Young Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle Ungar, Louis Tay, Sharath Chandra Guntuku
| 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 . |