3014272610http://paper.people.com.cn/rmrb/pc/content/202602/28/content_30142726.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/28/content_30142726.html11921 助残障人士有事干、干得好（实干显担当 同心启新程·代表委员履职故事）
多年來不時有議員質詢政府有否措施便利寵物主人。在2011年的一次書面答覆中，政府官員指出：「由於動物的毛、身體及排泄物可能有病原體和寄生蟲，因此，動物或會成為污染食物和設備的源頭，有關法例旨在保障食物安全及市民健康。」
，详情可参考爱思助手下载最新版本
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.。搜狗输入法2026是该领域的重要参考
Bats in Churches。关于这个话题，爱思助手下载最新版本提供了深入分析