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arXiv:2403.12094cs.AI

Are LLMs Good Cryptic Crossword Solvers?

Abdelrahman Sadallah, Daria Kotova, Ekaterina Kochmar

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Abstract

Cryptic crosswords are puzzles that rely not only on general knowledge but also on the solver's ability to manipulate language on different levels and deal with various types of wordplay. Previous research suggests that solving such puzzles is a challenge even for modern NLP models. However, the abilities of large language models (LLMs) have not yet been tested on this task. In this paper, we establish the benchmark results for three popular LLMs -- LLaMA2, Mistral, and ChatGPT -- showing that their performance on this task is still far from that of humans.

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Subjects
cs.AIArtificial Intelligence cs.CLComputation and Language cs.LGMachine Learning

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    • Ya interesting thought - would be fascinating if generating games w/solutions is part of the training data pipeline. There's been previous work done on on testing LLMs on logic puzzles[1][2][3] so they could possibly be building off those ideas to improve performance. [1]…

      nsypterasView on HNParent context

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