Cover Image

LPO: Discovering Missed Peephole Optimizations with Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Zhenyang, Xu, Hongxu, Tian, Yongqiang, Zhou, Xintong, Sun, Chengnian
Format:	Preprint
Published:	2025
Subjects:	Programming Languages Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BugLens: Leveraging Bisection for Lightweight Compiler Bug Deduplication
by: Zhou, Xintong, et al.
Published: (2025)

Leveraging Large Language Models for Generalizing Peephole Optimizations
by: Liao, Chunhao, et al.
Published: (2026)

WDD: Weighted Delta Debugging
by: Zhou, Xintong, et al.
Published: (2024)

LPR: Large Language Models-Aided Program Reduction
by: Zhang, Mengxiao, et al.
Published: (2023)

Pattern-Based Peephole Optimizations with Java JIT Tests
by: Zang, Zhiqiang, et al.
Published: (2024)

Unmasking the Genuine Type Inference Capabilities of LLMs for Java Code Snippets
by: Dong, Yiwen, et al.
Published: (2025)

Toward a Better Understanding of Probabilistic Delta Debugging
by: Zhang, Mengxiao, et al.
Published: (2024)

DRReduce: Enhancing Syntax-Guided Program Reduction with Dependency Reconstruction
by: Feng, Qiong, et al.
Published: (2026)

iScript: A Domain-Adapted Large Language Model and Benchmark for Physical Design Tcl Script Generation
by: Xu, Ning, et al.
Published: (2026)

A Roadmap for Tamed Interactions with Large Language Models
by: Scotti, Vincenzo, et al.
Published: (2025)

Enhancing Translation Validation of Compiler Transformations with Large Language Models
by: Wang, Yanzhao, et al.
Published: (2024)

Strengthening Programming Comprehension in Large Language Models through Code Generation
by: Ren, Xiaoning, et al.
Published: (2025)

Finding Missed Code Size Optimizations in Compilers using LLMs
by: Italiano, Davide, et al.
Published: (2024)

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators
by: Liu, Yuchen, et al.
Published: (2025)

Fully Automated Generation of Combinatorial Optimisation Systems Using Large Language Models
by: Karapetyan, Daniel
Published: (2025)

Can Large Language Models Simulate Symbolic Execution Output Like KLEE?
by: Feng, Rong, et al.
Published: (2025)

Scalable, Validated Code Translation of Entire Projects using Large Language Models
by: Zhang, Hanliang, et al.
Published: (2024)

ViScratch: Using Large Language Models and Gameplay Videos for Automated Feedback in Scratch
by: Si, Yuan, et al.
Published: (2025)

VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners
by: Yang, Aidan Z. H., et al.
Published: (2024)

COBOL-Coder: Domain-Adapted Large Language Models for COBOL Code Generation and Translation
by: Dau, Anh T. V., et al.
Published: (2026)

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks
by: Li, Jingyao, et al.
Published: (2023)

Search-Based Multi-Trajectory Refinement for Safe C-to-Rust Translation with Large Language Models
by: Sim, HoHyun, et al.
Published: (2025)

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model
by: Yu, Hao, et al.
Published: (2025)

Can Large Language Models Help Students Prove Software Correctness? An Experimental Study with Dafny
by: Carreira, Carolina, et al.
Published: (2025)

From Effectiveness to Efficiency: Uncovering Linguistic Bias in Large Language Model-based Code Generation
by: Jiang, Weipeng, et al.
Published: (2024)

Large Language Models for Multilingual Code Intelligence: A Survey
by: Jiang, Chao, et al.
Published: (2026)

Decompiling Rust: An Empirical Study of Compiler Optimizations and Reverse Engineering Challenges
by: Zhou, Zixu
Published: (2025)

Semantic Source Code Segmentation using Small and Large Language Models
by: Dahou, Abdelhalim, et al.
Published: (2025)

A Trace-based Approach for Code Safety Analysis
by: Xu, Hui
Published: (2025)

CodePod: A Language-Agnostic Hierarchical Scoping System for Interactive Development
by: Li, Hebi, et al.
Published: (2023)

Supporting Meta-model-based Language Evolution and Rapid Prototyping with Automated Grammar Optimization
by: Zhang, Weixing, et al.
Published: (2024)

Translating Large-Scale C Repositories to Idiomatic Rust
by: Dehghan, Saman, et al.
Published: (2025)

Large Language Models Synergize with Automated Machine Learning
by: Xu, Jinglue, et al.
Published: (2024)

Floating-Point Usage on GitHub: A Large-Scale Study of Statically Typed Languages
by: Gilot, Andrea, et al.
Published: (2025)

ClassInvGen: Class Invariant Synthesis using Large Language Models
by: Sun, Chuyue, et al.
Published: (2025)

SuperCoder: Assembly Program Superoptimization with Large Language Models
by: Wei, Anjiang, et al.
Published: (2025)

Sixth International Workshop on Languages for Modelling Variability (MODEVAR 2024)
by: Galasso-Carbonnel, Jessie, et al.
Published: (2023)

Assessing the Interpretability of Programmatic Policies with Large Language Models
by: Bashir, Zahra, et al.
Published: (2023)

Assured Automatic Programming via Large Language Models
by: Mirchev, Martin, et al.
Published: (2024)

Characterizing Unsafe Code Encapsulation In Real-world Rust Systems
by: Rao, Zihao, et al.
Published: (2024)