Saved in:
| Main Authors: | Zhang, Weixing, Hebig, Regina, Strüber, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.06836 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation
by: Zhang, Weixing, et al.
Published: (2026)
by: Zhang, Weixing, et al.
Published: (2026)
Development and Evolution of Xtext-based DSLs on GitHub: An Empirical Investigation
by: Zhang, Weixing, et al.
Published: (2025)
by: Zhang, Weixing, et al.
Published: (2025)
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
by: Zhang, Weixing, et al.
Published: (2026)
by: Zhang, Weixing, et al.
Published: (2026)
Supporting Meta-model-based Language Evolution and Rapid Prototyping with Automated Grammar Optimization
by: Zhang, Weixing, et al.
Published: (2024)
by: Zhang, Weixing, et al.
Published: (2024)
EATXT: A textual concrete syntax for EAST-ADL
by: Zhang, Weixing, et al.
Published: (2024)
by: Zhang, Weixing, et al.
Published: (2024)
CorrectHDL: Agentic HDL Design with LLMs Leveraging High-Level Synthesis as Reference
by: Xu, Kangwei, et al.
Published: (2025)
by: Xu, Kangwei, et al.
Published: (2025)
SLMFix: Leveraging Small Language Models for Error Fixing with Reinforcement Learning
by: Fu, David Jiahao, et al.
Published: (2025)
by: Fu, David Jiahao, et al.
Published: (2025)
Raw Pointer Rewriting with LLMs for Translating C to Safer Rust
by: Gao, Yifei, et al.
Published: (2025)
by: Gao, Yifei, et al.
Published: (2025)
The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers
by: Zhang, Shuoming, et al.
Published: (2026)
by: Zhang, Shuoming, et al.
Published: (2026)
LLMON: An LLM-native Markup Language to Leverage Structure and Semantics at the LLM Interface
by: Hind, Michael, et al.
Published: (2026)
by: Hind, Michael, et al.
Published: (2026)
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)
by: Laneve, Cosimo, et al.
Published: (2025)
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
by: Zhang, Yinger, et al.
Published: (2023)
by: Zhang, Yinger, et al.
Published: (2023)
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
by: Le-Cong, Thanh, et al.
Published: (2025)
by: Le-Cong, Thanh, et al.
Published: (2025)
Can LLMs Enable Verification in Mainstream Programming?
by: Shefer, Aleksandr, et al.
Published: (2025)
by: Shefer, Aleksandr, et al.
Published: (2025)
LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)
by: Thimmaiah, Aditya, et al.
Published: (2025)
Smaller = Weaker? Benchmarking Robustness of Quantized LLMs in Code Generation
by: Fang, Sen, et al.
Published: (2025)
by: Fang, Sen, et al.
Published: (2025)
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
by: Wang, Ming, et al.
Published: (2024)
by: Wang, Ming, et al.
Published: (2024)
Structured Program Synthesis using LLMs: Results and Insights from the IPARC Challenge
by: Surana, Shraddha, et al.
Published: (2025)
by: Surana, Shraddha, et al.
Published: (2025)
ECO: Enhanced Code Optimization via Performance-Aware Prompting for Code-LLMs
by: Kim, Su-Hyeon, et al.
Published: (2025)
by: Kim, Su-Hyeon, et al.
Published: (2025)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
by: Tang, Hao, et al.
Published: (2024)
by: Tang, Hao, et al.
Published: (2024)
Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes
by: Dearing, Matthew T., et al.
Published: (2025)
by: Dearing, Matthew T., et al.
Published: (2025)
Fine-Tuning Multilingual Language Models for Code Review: An Empirical Study on Industrial C# Projects
by: Begolli, Igli, et al.
Published: (2025)
by: Begolli, Igli, et al.
Published: (2025)
Self-Improving Code Generation via Semantic Entropy and Behavioral Consensus
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution
by: Huang, Tinglin, et al.
Published: (2026)
by: Huang, Tinglin, et al.
Published: (2026)
Is Programming by Example solved by LLMs?
by: Li, Wen-Ding, et al.
Published: (2024)
by: Li, Wen-Ding, et al.
Published: (2024)
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
by: Ye, Tong, et al.
Published: (2024)
by: Ye, Tong, et al.
Published: (2024)
Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs
by: Dai, Hankun, et al.
Published: (2025)
by: Dai, Hankun, et al.
Published: (2025)
CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
by: Wang, Peiding, et al.
Published: (2025)
by: Wang, Peiding, et al.
Published: (2025)
LEGO-Compiler: Enhancing Neural Compilation Through Translation Composability
by: Zhang, Shuoming, et al.
Published: (2025)
by: Zhang, Shuoming, et al.
Published: (2025)
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
by: Zhou, Tianyang, et al.
Published: (2025)
by: Zhou, Tianyang, et al.
Published: (2025)
Learning to Guarantee Type Correctness in Code Generation through Type-Guided Program Synthesis
by: Huang, Zhechong, et al.
Published: (2025)
by: Huang, Zhechong, et al.
Published: (2025)
Agentic Program Repair from Test Failures at Scale: A Neuro-symbolic approach with static analysis and test execution feedback
by: Maddila, Chandra, et al.
Published: (2025)
by: Maddila, Chandra, et al.
Published: (2025)
BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software
by: Zhang, Zehua, et al.
Published: (2025)
by: Zhang, Zehua, et al.
Published: (2025)
FormalSpecCpp: A Dataset of C++ Formal Specifications created using LLMs
by: Chakraborty, Madhurima, et al.
Published: (2025)
by: Chakraborty, Madhurima, et al.
Published: (2025)
Reinforcement Learning from Compiler and Language Server Feedback
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
AInsteinBench: Benchmarking Coding Agents on Scientific Repositories
by: Duston, Titouan, et al.
Published: (2025)
by: Duston, Titouan, et al.
Published: (2025)
Bench4HLS: End-to-End Evaluation of LLMs in High-Level Synthesis Code Generation
by: Khan, M Zafir Sadik, et al.
Published: (2026)
by: Khan, M Zafir Sadik, et al.
Published: (2026)
Risk Assessment Framework for Code LLMs via Leveraging Internal States
by: Huang, Yuheng, et al.
Published: (2025)
by: Huang, Yuheng, et al.
Published: (2025)
Introduction to Analytical Software Engineering Design Paradigm
by: Houichime, Tarik, et al.
Published: (2025)
by: Houichime, Tarik, et al.
Published: (2025)
Similar Items
-
Leveraging LLMs to support co-evolution between definitions and instances of textual DSLs: A Systematic Evaluation
by: Zhang, Weixing, et al.
Published: (2026) -
Development and Evolution of Xtext-based DSLs on GitHub: An Empirical Investigation
by: Zhang, Weixing, et al.
Published: (2025) -
Leveraging LLMs for Grammar Adaptation: A Study on Metamodel-Grammar Co-Evolution
by: Zhang, Weixing, et al.
Published: (2026) -
Supporting Meta-model-based Language Evolution and Rapid Prototyping with Automated Grammar Optimization
by: Zhang, Weixing, et al.
Published: (2024) -
EATXT: A textual concrete syntax for EAST-ADL
by: Zhang, Weixing, et al.
Published: (2024)