International Workshop on Large Language Models for Code (LLM4Code) 2026 - Rio de Janeiro, Brazil (Nathan Rutherford)
By Nathan Rutherford In April I had the pleasure of travelling to Rio de Janeiro in Brazil to present our paper, **[An Empirical Study of C to Rust Translation using Local Large-Language Models]( https://pure.royalholloway.ac.uk/files/71513373/llm4code26.pdf)** , at the 3rd International Workshop on Large Language Models for Code (LLM4Code) 2026, co-located with the International Conference on Software Engineering (ICSE). The aim of the workshop was to share ideas and results related to the application of large language models (LLMs) to code-related problems within software engineering, while also enabling discussion around emerging challenges in the area. The workshop covered topics including benchmark development for evaluating LLMs, dataset creation, and code generation, with a particularly strong focus on agentic AI systems. The keynote talks provided useful insights into how both academia and industry are leveraging these systems, from improving artefact evaluation for rese...