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.
输出：[null,1,1,1,2,1,4,6]
NASA leaders argued that it makes more sense to uncover problems and practice operations close to home, in Earth orbit, rather than discovering them for the first time while attempting a landing on the moon. If the faster launch tempo holds, Artemis IV and Artemis V together could give NASA two opportunities in 2028. Officials stressed that the timeline still depends on hardware readiness and safety reviews.，详情可参考safew官方版本下载
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It's relatively unchartered territory for the series, allowing production designer Alison Gartshore, costume designer John Glaser, and hair and makeup designer Nic Collins to consider what Bridgerton looks like if Wednesday Addams landed in the Ton. But it also allows for quietly moving performances from two characters we'll see much more of in the future.。业内人士推荐heLLoword翻译官方下载作为进阶阅读
your "true" PIN is a static value calculated from your card number and a key,