Papers with graph-like execution order

1 papers
AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction (2024.emnlp-main)

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Challenge: Existing state-of-the-art Large Language Models (LLMs) still cannot perform well in this situation even with the help of in-context learning and finetuning.
Approach: They propose a benchmark to evaluate LLMs’ ability to plan and execute multiple APIs from various sources in order to complete the user’s task.
Outcome: The proposed benchmarks show that the existing state-of-the-art LLMs still cannot perform well in this situation even with in-context learning and finetuning.

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