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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.SE2026

Can LLMs Learn and Apply Multi-Level Modelling Semantics? A First Empirical Study

Yuhong Fu, Weixing Zhang, Bowen Jiang +3

The paper empirically evaluates whether commercial large language models can generate correct multi-level models, finding they achieve reasonable syntactic accuracy but only partia…

cs.SE2026

Two-Level vs. Multi-Level Modelling: An Empirical Study of Cascading Maintenance Burden

Yuhong Fu, Weixing Zhang, Bowen Jiang +5

When a core definition changes, every dependent artefact must be updated, a cascading problem central to software maintenance. In Model-Driven Engineering (MDE), the dominant two-l…

cs.SE2026

Domain-Driven Design in Practice: A Mining Study of Maintenance and Evolution in Open-Source Repositories

Weixing Zhang, Bowen Jiang, Yuhong Fu +3

Domain-Driven Design (DDD) is an influential software development methodology that structures software around business domain complexity through tactical building blocks such as En…

cs.CR2026

D-Judge: Disrupting Multi-Turn Jailbreaks using Semantics-Preserving Output Rewriting

Huanli Gong, Zhipeng Wei, Yu Fu +4

Multi-turn jailbreak attacks pose a growing threat to large language model (LLM) safety because they exploit feedback from auxiliary judge models to iteratively refine prompts towa…

cs.SE2026

Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation

Weixing Zhang, Bowen Jiang, Yuhong Fu +3

Software languages evolve over time for reasons such as feature additions. When grammars evolve, textual instances that originally conformed to them may become outdated. While mode…