IRIS-14B is the first LLM trained explicitly for GIMPLE-to-LLVM IR translation and outperforms much larger models by up to 44 percentage points on real-world C code.
Towards translat- ing real-world code with LLMs: A study of translating to Rust
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
ENCRUST decouples C-to-Rust translation via ABI wrappers and agentic refinement to reduce unsafe constructs across 15 real programs while preserving full test correctness.
citing papers explorer
-
LLM Translation of Compiler Intermediate Representation
IRIS-14B is the first LLM trained explicitly for GIMPLE-to-LLVM IR translation and outperforms much larger models by up to 44 percentage points on real-world C code.
-
ORBIT: Guided Agentic Orchestration for Autonomous C-to-Rust Transpilation
ORBIT achieves 100% compilation success and 91.7% test success on 24 mostly large programs from CRUST-Bench by using dependency-aware orchestration and iterative verification, outperforming prior static and baseline tools.
-
ENCRUST: Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation
ENCRUST decouples C-to-Rust translation via ABI wrappers and agentic refinement to reduce unsafe constructs across 15 real programs while preserving full test correctness.