Papers with error-prone process
Multi-Step Generation of Test Specifications using Large Language Models for System-Level Requirements (2025.acl-industry)
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| Challenge: | System-level testing is a critical phase in the development of large, safety-dependent systems, such as those in the automotive industry. |
| Approach: | They propose an AI-powered assistant to aid users in creating test specifications for system-level requirements. |
| Outcome: | The proposed system reduces the effort required to derive test specifications by 30% in ROUGE-L. |
ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery (2026.acl-demo)
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| Challenge: | a new approach to natural-language research questions requires manual effort to generate an annotation schema and label the corpus. |
| Approach: | They propose a natural-language search tool that takes a question and a corpus to produce a schema and db with a web interface that lets steer and revise the extraction. |
| Outcome: | The proposed model yields outputs that support real-world analysis in law and computational biology. |