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AI HOT (Curated Pool)

Text Degeneration: A Production Failure Mode Most Benchmarks Do Not Track

文本退化:多数基准测试未追踪的生产故障模式

Dharma-AI says in a Hugging Face post that large language models can produce repeated, incoherent, or logically confused text in production, and most mainstream benchmarks do not track this failure mode.

Why it matters: HKR-H/K/R all pass, but the post only discloses the failure pattern and benchmark blind spot, with no sample size, metric, or reproduction setup. This fits the lower featured threshold.

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