Юлия Сычева (корреспондент)
newNode-next = buckets[bucketIdx]; // 头插法
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Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.，更多细节参见一键获取谷歌浏览器下载
第七十八条 卖淫、嫖娼的，处十日以上十五日以下拘留，可以并处五千元以下罚款；情节较轻的，处五日以下拘留或者一千元以下罚款。
Personal dictionary。快连下载安装对此有专业解读