acoustic perception 1audio-language models 1inference-time adaptation 1neuron-level intervention 1speech attribute classification 1
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cs.CL2026
SPAR-K: Scheduled Periodic Alternating Early Exit for Spoken Language Models
Hsiao-Ying Huang, Cheng-Han Chiang, Hung-yi Lee
Interleaved spoken language models (SLMs) alternately generate text and speech tokens, but decoding at full transformer depth for every step becomes costly, especially due to long…
cs.CL2025
AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models
Chih-Kai Yang, Neo Ho, Yi-Jyun Lee +1
Understanding the internal mechanisms of large audio-language models (LALMs) is crucial for interpreting their behavior and improving performance. This work presents the first in-d…
cs.CL2025
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models
Chi-Yuan Hsiao, Ke-Han Lu, Kai-Wei Chang +3
End-to-end training of Spoken Language Models (SLMs) commonly involves adapting pre-trained text-based Large Language Models (LLMs) to the speech modality through multi-stage train…