arxiv
PublishedOctober 16, 2026 at 4:00 AM
Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods
Publisher summary· verbatim
arXiv:2610.21763v1 Announce Type: new Abstract: Audio-enabled large language models (AuLLMs) allow users to interact with them simply by talking to them, without the need for an intermediate transcription. This expands the model's accessibility and capabilities by encoding non-verbal cues. However,
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Originally published on arxiv ↗