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Thomas Gschwind

3 accepted papers

2026

From Natural Language to Executable ETL Flows: The IBM DataStage Assistant

AAAI 2026technical

Modern ETL (Extract, Transform, Load) tools offer graphical, no-code interfaces for workflow creation but still require users to manually identify transformation functions and configure their properties, which is time-consuming and demands prior expertise. We present the research and engineering fou

Cited by 0SourcePDFScholar
2024

Adapting LLMs for Structured Natural Language API Integration

EMNLP 2024industry

API integration is crucial for enterprise systems, as it enables seamless interaction between applications within workflows. However, the diversity and complexity of the API landscape present significant challenges in combining API calls based on user intent.Existing methods rely on named entity rec…

Cited by 12SourcePDFScholar
2022

Attention-based Interpretability with Concept Transformers

ICLR 2022poster

Attention is a mechanism that has been instrumental in driving remarkable performance gains of deep neural network models in a host of visual, NLP and multimodal tasks. One additional notable aspect of attention is that it conveniently exposes the ``reasoning'' behind each particular output generate…