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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.24690 |
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| _version_ | 1866911237211684864 |
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| author | Liu, Shengjie Dong, Li Zhang, Zhenyu |
| author_facet | Liu, Shengjie Dong, Li Zhang, Zhenyu |
| contents | We present a framework for uncovering and exploiting dependencies among tools and documents to enhance exemplar artifact generation. Our method begins by constructing a tool knowledge graph from tool schemas,including descriptions, arguments, and output payloads, using a DeepResearch-inspired analysis. In parallel, we derive a complementary knowledge graph from internal documents and SOPs, which is then fused with the tool graph. To generate exemplar plans, we adopt a deep-sparse integration strategy that aligns structural tool dependencies with procedural knowledge. Experiments demonstrate that this unified framework effectively models tool interactions and improves plan generation, underscoring the benefits of linking tool graphs with domain knowledge graphs for tool-augmented reasoning and planning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_24690 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning Liu, Shengjie Dong, Li Zhang, Zhenyu Artificial Intelligence We present a framework for uncovering and exploiting dependencies among tools and documents to enhance exemplar artifact generation. Our method begins by constructing a tool knowledge graph from tool schemas,including descriptions, arguments, and output payloads, using a DeepResearch-inspired analysis. In parallel, we derive a complementary knowledge graph from internal documents and SOPs, which is then fused with the tool graph. To generate exemplar plans, we adopt a deep-sparse integration strategy that aligns structural tool dependencies with procedural knowledge. Experiments demonstrate that this unified framework effectively models tool interactions and improves plan generation, underscoring the benefits of linking tool graphs with domain knowledge graphs for tool-augmented reasoning and planning. |
| title | Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2510.24690 |