3 papers
cs.SD2026
Steering Where to Listen: Instruction-Based Activation Steering Redirects Temporal Attention in Large Audio-Language Models
Tsung-En Lin, Hung-Yi Lee
Large Audio-Language Models (LALMs) excel at audio understanding but expose little about where in an audio signal they attend. We introduce instruction-based vector steering, which…
cs.SD2025
Silence is Golden: Mitigating Hallucinations in Large Audio-Language Models via Layer-Weighted Vector Steering
Tsung-En Lin, Kuan-Yi Lee, Hung-Yi Lee
Large Audio-Language Models (LALMs) excel in Audio QA but often suffer from hallucinations ungrounded in the audio. To our knowledge, we are the first to propose applying vector st…
cs.SD2025
Audio-Maestro: Enhancing Large Audio-Language Models with Tool-Augmented Reasoning
Kuan-Yi Lee, Tsung-En Lin, Hung-Yi Lee
Recent advancements in large multimodal models (LMMs) have shown strong capabilities in audio understanding. However, most systems rely solely on end-to-end reasoning, limiting int…