Cover Image

Multi-modal Learning for WebAssembly Reverse Engineering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Hanxian, Zhao, Jishen
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Machine Learning Programming Languages
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Execution-Aware Program Reduction for WebAssembly via Record and Replay
by: Baek, Doehyun, et al.
Published: (2025)

WasmWalker: Path-based Code Representations for Improved WebAssembly Program Analysis
by: Shirzad, Mohammad Robati, et al.
Published: (2024)

Coeditor: Leveraging Contextual Changes for Multi-round Code Auto-editing
by: Wei, Jiayi, et al.
Published: (2023)

MLCPD: A Unified Multi-Language Code Parsing Dataset with Universal AST Schema
by: Gajjar, Jugal, et al.
Published: (2025)

Correctness-Guaranteed Code Generation via Constrained Decoding
by: Li, Lingxiao, et al.
Published: (2025)

QEDCartographer: Automating Formal Verification Using Reward-Free Reinforcement Learning
by: Sanchez-Stern, Alex, et al.
Published: (2024)

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
by: Fang, Weike, et al.
Published: (2024)

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees
by: Zhang, Guanqin, et al.
Published: (2025)

A Multi-Perspective Architecture for Semantic Code Search
by: Haldar, Rajarshi, et al.
Published: (2020)

A benchmark for vericoding: formally verified program synthesis
by: Bursuc, Sergiu, et al.
Published: (2025)

Research on WebAssembly Runtimes: A Survey
by: Zhang, Yixuan, et al.
Published: (2024)

The Power of Types: Exploring the Impact of Type Checking on Neural Bug Detection in Dynamically Typed Languages
by: Chen, Boqi, et al.
Published: (2024)

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
by: Ugare, Shubham, et al.
Published: (2024)

JaxDecompiler: Redefining Gradient-Informed Software Design
by: Pochelu, Pierrick
Published: (2024)

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

Language Models for Code Completion: A Practical Evaluation
by: Izadi, Maliheh, et al.
Published: (2024)

Constrained Decoding for Fill-in-the-Middle Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars
by: Melcer, Daniel, et al.
Published: (2024)

Explainable AI for Embedded Systems Design: A Case Study of Static Redundant NVM Memory Write Prediction
by: Gamatié, Abdoulaye, et al.
Published: (2024)

Grounding Data Science Code Generation with Input-Output Specifications
by: Wen, Yeming, et al.
Published: (2024)

Detecting Buggy Contracts via Smart Testing
by: Wang, Sally Junsong, et al.
Published: (2024)

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

SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation
by: Jiang, Mingchao, et al.
Published: (2025)

DINGO: Constrained Inference for Diffusion LLMs
by: Suresh, Tarun, et al.
Published: (2025)

Automatically Testing Functional Properties of Code Translation Models
by: Eniser, Hasan Ferit, et al.
Published: (2023)

SEVerA: Verified Synthesis of Self-Evolving Agents
by: Banerjee, Debangshu, et al.
Published: (2026)

Shedding Light in Task Decomposition in Program Synthesis: The Driving Force of the Synthesizer Model
by: Zenkner, Janis, et al.
Published: (2025)

Bootstrapping Fuzzers for Compilers of Low-Resource Language Dialects Using Language Models
by: Vaidya, Sairam, et al.
Published: (2025)

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

Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
by: Silva, André, et al.
Published: (2025)

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

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)

Understanding Formal Reasoning Failures in LLMs as Abstract Interpreters
by: Mitchell, Jacqueline L., et al.
Published: (2025)

GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2
by: Kashmira, Savini, et al.
Published: (2025)

Guess & Sketch: Language Model Guided Transpilation
by: Lee, Celine, et al.
Published: (2023)

Teaching LLMs Program Semantics via Symbolic Execution Traces
by: Bayer, Jonas, et al.
Published: (2026)

Who Wins the Race? (R Vs Python) - An Exploratory Study on Energy Consumption of Machine Learning Algorithms
by: Chattaraj, Rajrupa, et al.
Published: (2025)

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

Debugging WebAssembly? Put some Whamm on it!
by: Gilbert, Elizabeth, et al.
Published: (2025)

Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
by: Golubev, Alexander, et al.
Published: (2025)

Learning Randomized Reductions
by: Erata, Ferhat, et al.
Published: (2024)