Unverified50% confidenceFactExact time
The semantic understanding capability of LLMs can comprehend the meanings and associations behind words (such as the association between "spicy" and "麻辣" or "香辣") rather than relying solely on exact string matching.
1
Sources
50%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
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UnverifiedLLM 的真正优势在于处理模糊性、非结构化和开放性问题，如自然语言理解与生成、从杂乱文本抽取语义信息71% similarUnverifiedLLMs can understand the intent and context of code as well as standards described in natural language, thereby making judgments closer to those of human experts.70% similarUnverifiedLLM是强大的语言理解与生成工具，但不应被默认当作确定性的计算与执行系统69% similarUnverifiedLLMs learn the statistical patterns of word co-occurrence, grammatical structures, and rhetorical patterns in human language by training on massive text corpora, but the generation process does not involve understanding of content or intent.69% similarUnverifiedUsing an LLM to perform style transformation and expansion on existing corpora is more reliable than letting it freely generate prompts.67% similar
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