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.
罕见病“不罕见”ACH是儿童生长发育障碍的一类罕见疾病,发病率约为1/15,000–1/25,000,全球共计约25万患者。虽然ACH是罕见病,但大家对“侏儒症”并不陌生,ACH则占全部遗传学侏儒症的70%左右。
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