Papers by Tessa Charlesworth
Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes (2025.findings-acl)
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| Challenge: | Existing encoder-based vision-language models (VLMs) contain intrinsic biases that manifest in biased outputs. |
| Approach: | They propose a framework to measure intrinsic bias propagation by correlating intrinsic bias with extrinsic bias in zero-shot text-to-image and image-totext retrieval. |
| Outcome: | The proposed framework shows that larger/better-performing models exhibit greater bias propagation, raising concerns given the trend towards increasingly complex AI models. |