3 papers
cs.CL2026
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
Tasnim Kabir, Dmytro Kurdydyk, Aadi Palnitkar +3
Existing audio question answering benchmarks largely emphasize sound event classification or caption-grounded queries, often enabling models to succeed through shortcut strategies,…
cs.CL2025
Discrepancy Detection at the Data Level: Toward Consistent Multilingual Question Answering
Lorena Calvo-Bartolomé, Valérie Aldana, Karla Cantarero +3
Multilingual question answering (QA) systems must ensure factual consistency across languages, especially for objective queries such as What is jaundice?, while also accounting for…
cs.CL2022
Automatic Song Translation for Tonal Languages
Fenfei Guo, Chen Zhang, Zhirui Zhang +4
This paper develops automatic song translation (AST) for tonal languages and addresses the unique challenge of aligning words' tones with melody of a song in addition to conveying…