Papers by Bhrij Patel
Learning API Functionality from In-Context Demonstrations for Tool-based Agents (2025.findings-emnlp)
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| Challenge: | Documentation is often missing, outdated, privatized, or inconsistent in tool-based agents. |
| Approach: | They propose a task that allows agents to learn API functionality directly from in-context demonstrations. |
| Outcome: | The proposed model improves the task success rate of an API-based agent by providing explicit function calls and natural language critiques. |
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. |