On the Effect of Hyperparameters in Language Modeling for Computational Linguistics (2026.acl-long)
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| Challenge: | Training language models and examining their linguistic behaviors is a common protocol in computational linguistics for studying linguistic phenomena and modeling human language processing. |
| Approach: | They replicate three prior studies with hyperparameters varied within a practical range and show that modest hyperparametric changes can alter qualitative conclusions about models’ linguistic abilities. |
| Outcome: | The results show that hyperparameter changes can alter qualitative conclusions and reverse the ranking of models. |
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