Papers with Decomposition-Alignment-Reasoning Agent
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs (2024.findings-acl)
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| Challenge: | Existing approaches to answer questions over Knowledge Graphs (KGQA) are not available for KGQA. |
| Approach: | They propose a framework to improve the neural-symbolic reasoning capabilities of language agents powered by Large Language Models (LLMs) they show that DARA can be efficiently trained with a small number of high-quality reasoning trajectories. |
| Outcome: | The proposed framework outperforms in-context learning-based agents with GPT-4 and alternative fine-tuned agents across different benchmarks. |