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cs.SE2026
Runtime-Structured Task Decomposition for Agentic Coding Systems
Shubhi Asthana, Bing Zhang, Chad DeLuca +2
Agentic coding systems increasingly use large language models (LLMs) for software engineering tasks such as debugging, root cause analysis, and code review. However, many existing…
cs.SE2026
MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation
Basel Shbita, Farhan Ahmed, Chad DeLuca
Large language models (LLMs) have shown great promise in generating structured diagrams from natural language descriptions, particularly Mermaid sequence diagrams for software engi…
cs.SE2026
LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
Michael Hind, Basel Shbita, Bo Wu +5
Textual Large Language Models (LLMs) provide a simple and familiar interface: a string of text is used for both input and output. However, the information conveyed to an LLM often…