Papers by Vernon Austel

1 papers
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs (2024.acl-long)

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Challenge: Existing methods to train and test large language models that involve calls to tools and APIs are lacking.
Approach: They propose a large corpora for training and systematic testing of tool-augmented LLMs.
Outcome: The proposed datasets mimic real-world scenarios involving API-tasks and slot filling.

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