Papers by Jason Tsay

2 papers
Generating OpenAPI Specifications from Online API Documentation with Large Language Models (2025.acl-industry)

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Challenge: API specifications are often presented as unstructured HTML pages, requiring external users to manually convert it into a structured format.
Approach: They propose a framework that transforms long API documentation pages into consistent, machine-readable API specifications.
Outcome: The proposed framework generalizes well across hundreds of APIs and produces valid OpenAPI specifications that encapsulate most of the information from the original documentation.
Towards LLMs Robustness to Changes in Prompt Format Styles (2025.naacl-srw)

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Challenge: Existing prompt engineering techniques for adapting pre-trained LLMs to specific tasks are zero-shot prompting and few-shot supervised fine-tuning.
Approach: They propose a technique for addressing prompt brittleness by diversifying the styles used in the prompt few-shot examples by using computer vision techniques.
Outcome: Empirical results show that the proposed technique reduces style-induced prompt brittleness while improving overall performance across prompt variations and different datasets.

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