Dynamic Tool Dependency Retrieval for Lightweight Function Calling (2026.findings-acl)
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| Challenge: | Existing retrieval methods rely on static inputs, failing to capture multi-step tool dependencies and evolving task context. |
| Approach: | They propose a lightweight retrieval method that conditions on initial query and evolving task context. |
| Outcome: | The proposed method improves function calling success rates between 23% and 104% compared to state-of-the-art retrieval methods. |
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