他並透露，在修法前政府將推動多項改革與輔導措施。勞動部已針對強迫勞動發布指引，並與經濟部討論後續計畫；仲介評鑑將納入防止強迫勞動的指標，移工證件遭扣留問題也將透過修法明確禁止。此外，勞動部正檢討政府的直聘制度，簡化流程，讓雇主更願意直接聘用移工，而不需透過仲介。
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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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