Papers with CodeAlignKGQA
Aligning Complex Knowledge Graph Question Answering as Knowledge-Aware Constrained Code Generation (2025.coling-main)
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| Challenge: | Existing frameworks that generate LF using Large Language Models (LLMs) in a few-shot setting are limited due to little exposure to the LF during pre-training. |
| Approach: | They propose a framework that aligns the LF generation as code generation that incorporates LF-specific constraints. |
| Outcome: | The proposed framework surpasses all few-shot baselines on KQA Pro by 21%. |