Corali-Lang Benchmark: Detailed Analysis

CLAUDE SONNET 4.6

From Claude Sonnet’s answer to question 4, it can be seen that this model is quite robust and consistent, even making the same mistake five times in a row. This means that the model’s understanding determines the answer, not guesswork or luck.

Here’s story question number 4:
4. Coral fights the giant squid while Corali watches from the side. When the squid is defeated, Corali lets out a long sigh and says, “I’m…” Then Coral, exhausted, replies, “But I’m the one fighting, not you.” Corali just laughs.

The answer is “Exhaustad” or “Tirad,” because it was Coral who fought, not Corali. However, the model answered “Relievad,” which is incorrect, because if Corali were truly relieved, Coral wouldn’t complain and say she was the one fighting.

The most natural and correct answer is “Exhaustad” because in the question I have informed that Coral is exhausted, but I still accept “Tirad” because it shows a correct understanding of the context even though the words chosen are different and the application of the suffix -ad is also correct.

The strength of this model
– can understand long contexts, unfazed by misleading Coral’s fashion descriptions,
– can learn a new language: Corali language without being fixated on English,
– can absorb data from narratives, not just explicit rules
– can read Corali language patterns well and apply them to other English words

The weakness of this model
– make mistakes when understanding the context

Categories: AI Benchmark

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