Unverified50% confidenceFactExact time
Multi-turn self-correction prompting without feedback cannot reliably improve LLM reasoning performance.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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Related Claims
VerifiedThe fundamental reason prompt injection is difficult to defend against is that LLMs cannot reliably distinguish between data and instructions.74% similarUnverified响应速度快无法证明背后是否为官方正版服务，能力越强的模型每次推理消耗算力越多、响应时间相应更长74% similarUnverified纯LLM探索模式在确定性任务上成功率难以保障，因每次推理存在随机性70% similarUnverifiedBenchmark saturation refers to the point at which, after model performance improves to a certain level, benchmark tests can no longer effectively differentiate capability differences between models.70% similarUnverifiedHigh scores on LLM benchmarks do not always equate to actual programming efficiency.69% similar
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