Papers by Vincent Cohen-Addad

1 papers
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval (2024.findings-emnlp)

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Challenge: Recent advances in large language models have enabled autonomous agents with complex reasoning and task-fulfillment capabilities using a wide range of tools.
Approach: They propose an unsupervised tool retrieval method that leverages LLM’s query understanding capabilities to extract key tool-related context and underlying intents from user queries.
Outcome: The proposed method significantly outperforms state-of-the-art tools in single-tool and multi-tool scenarios, all within a fully unsupervised setting.

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