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.
當時，愛潑斯坦是一名資產管理人和環球社交圈中的富豪，與當時的女友麥克斯韋共同在白金漢宮與棕櫚灘等地穿梭，結交世界各地的權勢人士。
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Mackay's investigation led to Christopher Hampton being jailed for life for the teenager's murder.
不到10点，殡仪馆告别厅外已经站满了前来悼念的观众和粉丝，有人胸前佩戴小白花，有人手捧鲜花，一位浙江的网友还托人送来了悼念花圈。。im钱包官方下载对此有专业解读
FREE BOOKS: The latest Stuff Your Kindle Day takes place on Feb. 26. Sapphic Shelf Explosion, hosted by Year of Queer Lit, is offering free sapphic books for your e-reader.
Since the pandemic, Vishnevskiy said "the number of teenagers on Discord has significantly increased."，这一点在WPS下载最新地址中也有详细论述