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Manish Kesarwani

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

LLM-powered GraphQL Generator for Data Retrieval

IJCAI 2024poster

GraphQL offers an efficient, powerful, and flexible alternative to REST APIs. However, application developers writing GraphQL clients need both technical and domain-specific expertise to reap its benefits, and avoid over-fetching or under-fetching data. Automated GraphQL generation has so far proven…