KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting (2025.coling-main)
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Thilini Wijesiriwardene, Ruwan Wickramarachchi, Sreeram Reddy Vennam, Vinija Jain, Aman Chadha, Amitava Das, Ponnurangam Kumaraguru, Amit Sheth
| Challenge: | Proportional analogies are used to assess linguistic and cognitive abilities. |
| Approach: | They propose a dataset for proportional analogy completion and evaluate its performance in large-scale learning environments. |
| Outcome: | The proposed model achieves 55% accuracy in knowledge-enhanced prompts. |
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