Researchers identify modality interference as root cause of full-duplex SLM degradation
A new paper on arXiv (July 7, 2026) presents a fine-grained analysis of optimization dynamics in full-duplex Spoken Language Models (SLMs), identifying severe modality interference as the root cause of knowledge degradation and compromised semantic integrity. The work aims to enable more natural and intelligent full-duplex SLMs.
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arXiv paper benchmarks LLM judges for citation quality in deep-research systems
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Anthropic explains LLM's challenge in distinguishing own thoughts from user input
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