3 papers
cs.CL2026
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
Wei-Chi Wu, Sheng-Lun Wei, Hen-Hsen Huang +1
Translation-based prompting is widely used in multilingual LLMs, yet its effectiveness varies across languages and tasks. We evaluate prompting strategies across ten languages of d…
cs.SD2026
Hearing the Order: Investigating Position Bias in Large Audio-Language Models
Yu-Xiang Lin, Chen-An Li, Sheng-Lun Wei +3
Large audio-language models (LALMs) are often used in tasks that involve reasoning over ordered options. An open question is whether their predictions are influenced by the order o…
cs.CL2026
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations
Sheng-Lun Wei, Yu-Ling Liao, Yen-Hua Chang +2
This work presents the first systematic investigation of speech bias in multilingual MLLMs. We construct and release the BiasInEar dataset, a speech-augmented benchmark based on Gl…