Speech LLMs fail logical entity-tracking tasks due to binding failures in continuous speech features; Entity-Aware Chain-of-Thought prompting recovers most of the gap even under misrecognition.
Cord: Bridging the audio-text reasoning gap via weighted on-policy cross-modal distillation
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A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.
TextPro-SLM reduces the speech-text modality gap by feeding an LLM backbone with synchronized text tokens and prosody embeddings from WhisperPro, achieving lowest gap scores at 3B/7B scales with roughly 1,000 hours of audio.
citing papers explorer
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Entity Binding Failures in Speech LLM Reasoning: Diagnosis and Chain-of-Thought Intervention
Speech LLMs fail logical entity-tracking tasks due to binding failures in continuous speech features; Entity-Aware Chain-of-Thought prompting recovers most of the gap even under misrecognition.
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A Survey of Large Audio Language Models: Generalization, Trustworthiness, and Outlook
A survey of Large Audio Language Models that establishes a taxonomy of trustworthiness vulnerabilities and proposes a Defense-in-Depth roadmap for audio intelligence.
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Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM
TextPro-SLM reduces the speech-text modality gap by feeding an LLM backbone with synchronized text tokens and prosody embeddings from WhisperPro, achieving lowest gap scores at 3B/7B scales with roughly 1,000 hours of audio.