Nature staff discuss some of the week’s top science news.
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.。爱思助手下载最新版本是该领域的重要参考
，更多细节参见Line官方版本下载
第六十一条 有下列行为之一的，处警告或者五百元以下罚款；情节严重的，处五日以上十日以下拘留，可以并处一千元以下罚款：
bytes = pinnedBytes.addressOf(0),。业内人士推荐safew官方版本下载作为进阶阅读