В Финляндии предупредили об опасном шаге ЕС против России09:28
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.,这一点在搜狗输入法2026中也有详细论述
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「發生過一件如此不幸的事情再做住宅,你看外國有些地方也不會這樣做」,他又指程序繁複,清拆、處理業權等問題耗時很久,原址重建「不太實際」。,更多细节参见同城约会
I used z3 theorem prover to assess LLM output, which is a pretty decent SAT solver. I considered the LLM output successful if it determines the formula is SAT or UNSAT correctly, and for SAT case it needs to provide a valid assignment. Testing the assignment is easy, given an assignment you can add a single variable clause to the formula. If the resulting formula is still SAT, that means the assignment is valid otherwise it means that the assignment contradicts with the formula, and it is invalid.
В Финляндии предупредили об опасном шаге ЕС против России09:28