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Dan Debrunner

3 accepted papers

2025

Schema and Natural Language Aware In-Context Learning for Improved GraphQL Query Generation

NAACL 2025industry

GraphQL offers a flexible alternative to REST APIs, allowing precise data retrieval across multiple sources in a single query. However, generating complex GraphQL queries remains a significant challenge. Large Language Models (LLMs), while powerful, often produce suboptimal queries due to limited ex…

Cited by 0SourcePDFScholar
2024

GraphQL Query Generation: A Large Training and Benchmarking Dataset

EMNLP 2024industry

GraphQL is a powerful query language for APIs that allows clients to fetch precise data efficiently and flexibly, querying multiple resources with a single request. However, crafting complex GraphQL query operations can be challenging. Large Language Models (LLMs) offer an alternative by generating…

2024

Sequential API Function Calling Using GraphQL Schema

EMNLP 2024main

Function calling using Large Language Models (LLMs) is an active research area that aims to empower LLMs with the ability to execute APIs to perform real-world tasks. However, sequential function calling using LLMs with interdependence between functions is still under-explored. To this end, we intro…

Cited by 1SourcePDFScholar