Two further complainants also questioned whether the ad encouraged or condoned drug use, due to a scene where the replacement officers picked up a prescription medication container and winked.
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.
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人權組織稱,新疆地區有超過100萬維吾爾族和其他穆斯林少數民族被拘留。北京則多次否認及駁斥相關指控,並稱有關維吾爾族的人權報導屬於謊言、假新聞。
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