Papers by Bochen Lyu
Can Language Models Serve as Analogy Annotators? (2025.findings-acl)
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| Challenge: | Conceptual abstraction and analogy-making are crucial for human learning, reasoning, and adapting to unfamiliar domains. |
| Approach: | They propose a multi-stage progressive reasoning prompt framework A3E which is based on the structure mapping theory from cognitive psychology and efficiently annotates candidate story pairs across six fine-grained categories. |
| Outcome: | The proposed framework achieves an average performance gain of + 73% across a range of prompting baselines and base LLMs. |