{
 "id": "ntunlplab/BiasInEar",
 "owner": "ntunlplab",
 "name": "BiasInEar",
 "downloads": 90,
 "likes": 0,
 "last_modified": "2026-02-28T11:55:51.000Z",
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 "licence_name": null,
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 "file_licence": null,
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 "gated": false,
 "tasks": [
  "question-answering",
  "automatic-speech-recognition"
 ],
 "citation": "@inproceedings{wei-etal-2026-biasinear,\n  title={Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations},\n  author={Wei, Sheng-Lun and Liao, Yu-Ling and Chang, Yen-Hua and Huang, Hen-Hsen and Chen, Hsin-Hsi},\n  booktitle={Findings of the Association for Computational Linguistics: EACL 2026},\n  year={2026},\n  publisher={Association for Computational Linguistics}\n}",
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