Papers with verified
‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion (2023.findings-emnlp)
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| Challenge: | Using CLIP-cosine similarity for zero-shot classification of images, we chronicle results from 136 prompts (50 results/prompt) of front-facing images of faces from 6 different continents, 27 countries and 3 genders. |
| Approach: | They use CLIP-cosine similarity for zero-shot classification of images generated by CLIP based Stable Diffusion v2.1 verified by manual examination to determine what gender and nationality/continental identity is assigned to ‘a person’. |
| Outcome: | The results show that the image generator Stable Diffusion displays gender and nationality/continental identity in the absence of such information. |
Multilingual Sentence-T5: Scalable Sentence Encoders for Multilingual Applications (2024.lrec-main)
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| Challenge: | Prior work on multilingual sentence embedding has demonstrated that the efficient use of natural language inference data to build high-performance models can outperform conventional methods. |
| Approach: | They propose a multilingual sentence embedding model by extending an existing monolingual model by using the low-rank adaptation technique. |
| Outcome: | The proposed model outperforms the previous approach and shows that languages with fewer resources or those with less linguistic similarity to English benefit more from the parameter increase. |