Recent studies have explored the automation of code translation using Large Language Models (LLMs). One key observation is that such techniques may work well for crafted benchmarks but fail to generalize to the scale and complexity of real-world projects with dependencies, custom types, PL-...
- The fifth line applies a translation to the bunny mesh using the translate function. The translation vector used in this case is [2.5, 2.1, 1.2], which moves the bunny mesh 2.5 units along the x-axis, 2.1 units along the y-axis, and 1.2 units along the z-axis. Concept Here are ...
19.Unixcoder: Unified cross-modal pre-training for code representation 20.Pymt5: multi-mode translation of natural language and python code with transformers 21.Studying the usage of text-to-text transfer transformer to support code-related tasks 22.DOBF: A deobfuscation pre-training objective for...
"Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis" [2024-12] [paper] "I Can't Share Code, but I need Translation -- An Empirical Study on Code Translation through Federated LLM" [2025-01] [paper] "Guided Debugging of Auto-Translated Code Using ...
Code Translation Code LLMs are adept at translating code from one programming language to another, a task in which GPT-4 performs better. This capability facilitates code reuse across different technology stacks and simplifies the migration of legacy code. ...
StarCoder2, built byBigCodein collaboration with NVIDIA, is the most advanced code LLM for developers. You can build applications quickly using the model’s capabilities, including code completion, auto-fill, advanced code summarization, and relevant code snippet retrievals using natural language. ...
3. **MathCoder**: "MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning" [[paper](https://arxiv.org/abs/2310.03731)] 3. **CSV**: "Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification" [2023-08] [ICLR 2024] [...
Fine-Tuning Your Own Models: We provide an API for quickly fine-tuning your own LLMs for code using SOTA techniques forparameter-efficient fine-tuning(HuggingFace PEFT) on distributed environments. Supported Tasks: nl2code, code summarization, code completion, code translation, code refinement, clone...
标题:POLCA: Power Oversubscription in LLM Cloud Providers 机构:微软 相关领域:模型结构改进、预训练、指令微调、奖励模型 地址:arxiv.org/pdf/2308.1290 25. SayCanPay:利用可学习领域知识的、基于大型语言模型的高效规划算法 标题:SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain ...
Exploring LoRA for parameter-efficient fine-tuning of LLMs in enhanced algorithm-to-python-source-code translation taskdoi:10.1063/5.0247544Pseudo-code is an informal notation for representing algorithms using plain language, serving as a vital tool for effective communication among developers and ...