large language models 1model-driven engineering 1multi-level modelling 1prompt engineering 1semantic correctness 1
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cs.CL2026
EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments
Jundong Xu, Qingchuan Li, Jiaying Wu +11
Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In contrast, real-world deploymen…
cs.CL2026
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
Weixing Zhang, Bowen Jiang, Rahul Sharma +2
In model-driven engineering, metamodel evolution leads to the need to adapt corresponding grammars to maintain consistency, which typically requires tedious manual work. Existing r…