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Entity Binding Failures in Speech LLM Reasoning: Diagnosis and Chain-of-Thought Intervention

arXiv cs.CL · 2026-06-04 Cached

This paper identifies a localized 'entity binding failure' in Speech Large Language Models (SLLMs) where logical reasoning involving entity tracking collapses to chance-level accuracy, and proposes Entity-Aware Chain-of-Thought (EA-CoT) prompting to resolve this, achieving up to 24.4% absolute accuracy improvement.

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