Linear RNNs track states from REPL code traces of permutations better than Transformers, but non-linear RNNs outperform them in partially observable probabilistic automata.
Code execution with pre-trained language models
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Learning State-Tracking from Code Using Linear RNNs
Linear RNNs track states from REPL code traces of permutations better than Transformers, but non-linear RNNs outperform them in partially observable probabilistic automata.