Tag
This paper tests the Parse Multiplicity Mismatch Hypothesis, proposing that language models underpredict human processing difficulty in garden path sentences because they can consider more simultaneous parses. Using RNNGs with beam search, they find reducing the number of active parses increases predicted garden path effects, but not enough to fully capture human data.
This paper investigates how humans communicate under strict vocabulary limitations, comparing their incremental production strategies to greedy and globally optimal sampling algorithms using Sequential Monte Carlo inference with large language models.