Papers by Claire E. Stevenson
Can Large Language Models Generalize Analogy Solving Like Children Can? (2026.tacl-1)
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| Challenge: | Recent research shows that large language models can solve various forms of analogies. |
| Approach: | They investigated whether large language models can generalize analogy solving to other domains . they found that LLMs struggle with robust human-like analogical transfer . |
| Outcome: | The results show that large language models can solve analogies in the Latin alphabet, Greek alphabet, and far transfer domains. |
Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research (2026.tacl-1)
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| Challenge: | Analogical reasoning is an essential aspect of human cognition, says aaron eliotta . eelisa e. sabet: some have argued that analogy is central to the human cognitive experience . |
| Approach: | They summarize key theories about the processes underlying analogical reasoning from the cognitive science literature and relate it to current research in natural language processing. |
| Outcome: | The proposed approaches are relevant for several major challenges in natural language processing, not directly related to analogy solving. |