Papers with multilingual MLLMs
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations (2026.findings-eacl)
Copied to clipboard
| Challenge: | Recent advances extend language understanding beyond text to speech, enabling unified reasoning across modalities. |
| Approach: | They construct and release a speech-augmented benchmark based on Global MMLU Lite and a data set spanning English, Chinese, and Korean. |
| Outcome: | The proposed model is robust to demographic factors but sensitive to language and option order, suggesting that speech can amplify structural biases. |