SwiftTrans improves both functional correctness and runtime efficiency of LLM code translations via multi-perspective exploration with hierarchical guidance and difference-aware selection with ordinal guidance on extended benchmarks including new SwiftBench.
Code- transocean: A comprehensive multilingual benchmark for code translation
4 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
years
2026 4roles
background 1polarities
background 1representative citing papers
UNICS pre-trains on a pseudocode dataset for cross-lingual logic then applies multi-task transfer learning with hard-positive mining and dynamic hard-negative sampling to reach claimed SOTA on multilingual code-search benchmarks.
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.
citing papers explorer
-
Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation
SwiftTrans improves both functional correctness and runtime efficiency of LLM code translations via multi-perspective exploration with hierarchical guidance and difference-aware selection with ordinal guidance on extended benchmarks including new SwiftBench.
-
UNICS: Multilingual Code Search via Unified Pseudocode and Contrastive Transfer Learning
UNICS pre-trains on a pseudocode dataset for cross-lingual logic then applies multi-task transfer learning with hard-positive mining and dynamic hard-negative sampling to reach claimed SOTA on multilingual code-search benchmarks.
-
Large Language Models for Multilingual Code Intelligence: A Survey
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.
- ReCodeAgent: A Multi-agent Workflow for Language-Agnostic Translation and Validation of Large-Scale Repositories