Cover Image

Large Language Models for Validating Network Protocol Parsers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Mingwei, Xie, Danning, Zhang, Xiangyu
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Validating Network Protocol Parsers with Traceable RFC Document Interpretation
by: Zheng, Mingwei, et al.
Published: (2025)

CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
by: Xie, Danning, et al.
Published: (2025)

RFCAudit: An LLM Agent for Functional Bug Detection in Network Protocols
by: Zheng, Mingwei, et al.
Published: (2025)

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models
by: Zhong, Aoxiao, et al.
Published: (2024)

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models
by: Wang, Yanlin, et al.
Published: (2024)

Configuration Validation with Large Language Models
by: Lian, Xinyu, et al.
Published: (2023)

Generating High-Quality Datasets for Code Editing via Open-Source Language Models
by: Zhang, Zekai, et al.
Published: (2025)

Raw Pointer Rewriting with LLMs for Translating C to Safer Rust
by: Gao, Yifei, et al.
Published: (2025)

Less is More: Towards Green Code Large Language Models via Unified Structural Pruning
by: Yang, Guang, et al.
Published: (2024)

Exploring Large Language Models in Resolving Environment-Related Crash Bugs: Localizing and Repairing
by: Du, Xueying, et al.
Published: (2023)

Accurate and Consistent Graph Model Generation from Text with Large Language Models
by: Chen, Boqi, et al.
Published: (2025)

Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
by: Yang, Ye, et al.
Published: (2025)

StackTrans: From Large Language Model to Large Pushdown Automata Model
by: Zhang, Kechi, et al.
Published: (2025)

How Effective are Large Language Models in Generating Software Specifications?
by: Xie, Danning, et al.
Published: (2023)

Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast
by: Fan, Wen, et al.
Published: (2024)

Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
by: Jiang, Nan, et al.
Published: (2023)

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
by: He, Yibo, et al.
Published: (2025)

Scaling Data-Driven Building Energy Modelling using Large Language Models
by: Khadka, Sunil, et al.
Published: (2024)

Assessing the Code Clone Detection Capability of Large Language Models
by: Zhang, Zixian, et al.
Published: (2024)

TAI3: Testing Agent Integrity in Interpreting User Intent
by: Feng, Shiwei, et al.
Published: (2025)

SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
by: Xu, Jingxuan, et al.
Published: (2025)

Toward Automated Validation of Language Model Synthesized Test Cases using Semantic Entropy
by: Taherkhani, Hamed, et al.
Published: (2024)

Personality-Guided Code Generation Using Large Language Models
by: Guo, Yaoqi, et al.
Published: (2024)

MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Models
by: Dong, Yuchen, et al.
Published: (2024)

Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
by: Wang, Jian, et al.
Published: (2025)

Large Language Model-Driven Code Compliance Checking in Building Information Modeling
by: Madireddy, Soumya, et al.
Published: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)

Metamorphic Testing of Large Language Models for Natural Language Processing
by: Cho, Steven, et al.
Published: (2025)

Evolution of Kernels: Automated RISC-V Kernel Optimization with Large Language Models
by: Chen, Siyuan, et al.
Published: (2025)

exLong: Generating Exceptional Behavior Tests with Large Language Models
by: Zhang, Jiyang, et al.
Published: (2024)

Reverse Engineering User Stories from Code using Large Language Models
by: Ouf, Mohamed, et al.
Published: (2025)

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

Explaining Software Vulnerabilities with Large Language Models
by: Johnson, Oshando, et al.
Published: (2025)

Large Language Model-Based Agents for Software Engineering: A Survey
by: Liu, Junwei, et al.
Published: (2024)

A Tool for Generating Exceptional Behavior Tests With Large Language Models
by: Zhong, Linghan, et al.
Published: (2025)

Assessing the Business Process Modeling Competences of Large Language Models
by: Lauer, Chantale, et al.
Published: (2026)

Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
by: Li, Chengze, et al.
Published: (2025)

A Hierarchical Imprecise Probability Approach to Reliability Assessment of Large Language Models
by: Aghazadeh-Chakherlou, Robab, et al.
Published: (2025)

Exploringand Unleashing the Power of Large Language Models in CI/CD Configuration Translation
by: Wang, Chong, et al.
Published: (2025)

iPanda: An LLM-based Agent for Automated Conformance Testing of Communication Protocols
by: Sun, Xikai, et al.
Published: (2025)