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20242026
most citedTowards Translating Real-World Code with LLMs: A Study of Translating to Rust

7 citations · 13 across the 15 of their papers we have counts for

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cs.PL2026

Tensor Seeks Layout: Formalizing Layout Selection for ML Compilers

Clemens Eisenhofer, Yuwen Jia, Daniel Kroening +1

Modern machine learning compilers select tensor memory layouts to minimize execution cost under hardware constraints. Layout selection is global: an operator may be fastest under o…

cs.PL2026

A Barrier-Free Synchronization Algorithm for Multi-Engine AI Accelerators

Chungha Sung, Nikil V. Shyamsunder, Hanliang Zhang +2

Multi-engine AI accelerators such as AWS Trainium comprise specialized compute engines that execute in parallel, and the compiler must synchronize the data dependencies between the…

cs.PL2026

Mostly Automatic Translation of Language Interpreters from C to Safe Rust

Bo Wang, Brandon Paulsen, Joey Dodds +3

Translating C programs to safe Rust is challenging owing to significant differences in typing constraints, ownership, and borrowing rules. Interpreter programs are particularly imp…

cs.PL2026

Axon: A Synthesizing Superoptimizer for Tensor Programs

Akash Kothari, Shaowei Zhu, Daniel Kroening +1

Writing high performance kernels for AI accelerators requires deep expertise in tiling, instruction selection, data layout, and operator fusion placing a significant burden on prog…

cs.PL2025

Program Synthesis from Partial Traces

Margarida Ferreira, Victor Nicolet, Joey Dodds +1

We present the first technique to synthesize programs that compose side-effecting functions, pure functions, and control flow, from partial traces containing records of only the si…

cs.PL2024★ 3 cited

Scalable, Validated Code Translation of Entire Projects using Large Language Models

Hanliang Zhang, Cristina David, Meng Wang +2

Large language models (LLMs) show promise in code translation due to their ability to generate idiomatic code. However, a significant limitation when using LLMs for code translatio…

cs.PL2024★ 3 cited

VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners

Aidan Z. H. Yang, Yoshiki Takashima, Brandon Paulsen +2

Rust is a programming language that combines memory safety and low-level control, providing C-like performance while guaranteeing the absence of undefined behaviors by default. Rus…