Saved in:
| Main Authors: | Li, Jingyang, Song, Fu, Li, Guoqiang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.14823 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation
by: Li, Jingyang, et al.
Published: (2026)
by: Li, Jingyang, et al.
Published: (2026)
SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
by: Li, Jingyang, et al.
Published: (2026)
by: Li, Jingyang, et al.
Published: (2026)
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
by: Sun, Zhensu, et al.
Published: (2022)
by: Sun, Zhensu, et al.
Published: (2022)
Learning-Based Relaxation of Completeness Requirements for Data Entry Forms
by: Belgacem, Hichem, et al.
Published: (2023)
by: Belgacem, Hichem, et al.
Published: (2023)
Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees
by: Zhang, Guanqin, et al.
Published: (2025)
by: Zhang, Guanqin, et al.
Published: (2025)
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
DISTINCT: A Description-Guided Branch-Consistency Analysis Framework for Non-Regressive Test Case Generation
by: Xue, Pengyu, et al.
Published: (2025)
by: Xue, Pengyu, et al.
Published: (2025)
Counterexample Classification against Signal Temporal Logic Specifications
by: Zhang, Zhenya, et al.
Published: (2026)
by: Zhang, Zhenya, et al.
Published: (2026)
Improving Dynamic Specification Inference with LLM-Generated Counterexamples
by: Balestra, Agustín, et al.
Published: (2026)
by: Balestra, Agustín, et al.
Published: (2026)
Verification-Guided Context Optimization for Tool Calling via Hierarchical LLMs-as-Editors
by: Li, Henger, et al.
Published: (2025)
by: Li, Henger, et al.
Published: (2025)
Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization
by: Orvalho, Pedro, et al.
Published: (2024)
by: Orvalho, Pedro, et al.
Published: (2024)
Towards Efficient Verification of Constant-Time Cryptographic Implementations
by: Cai, Luwei, et al.
Published: (2024)
by: Cai, Luwei, et al.
Published: (2024)
Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks
by: Li, Dongcheng, et al.
Published: (2024)
by: Li, Dongcheng, et al.
Published: (2024)
Towards Large Language Model Guided Kernel Direct Fuzzing
by: Li, Xie, et al.
Published: (2025)
by: Li, Xie, et al.
Published: (2025)
BinMetric: A Comprehensive Binary Analysis Benchmark for Large Language Models
by: Shang, Xiuwei, et al.
Published: (2025)
by: Shang, Xiuwei, et al.
Published: (2025)
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
by: Baninajjar, Anahita, et al.
Published: (2023)
by: Baninajjar, Anahita, et al.
Published: (2023)
Using Assurance Cases to Guide Verification and Validation of Research Software
by: Smith, W. Spencer, et al.
Published: (2024)
by: Smith, W. Spencer, et al.
Published: (2024)
How We Built Cedar: A Verification-Guided Approach
by: Disselkoen, Craig, et al.
Published: (2024)
by: Disselkoen, Craig, et al.
Published: (2024)
From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)
by: Li, Yanzhou, et al.
Published: (2025)
QuanTest: Entanglement-Guided Testing of Quantum Neural Network Systems
by: Shi, Jinjing, et al.
Published: (2024)
by: Shi, Jinjing, et al.
Published: (2024)
Automatic Assertion Mining in Assertion-Based Verification: Techniques, Challenges, and Future Directions
by: Iman, Mohammad Reza Heidari, et al.
Published: (2026)
by: Iman, Mohammad Reza Heidari, et al.
Published: (2026)
Natural Language based Specification and Verification
by: Li, Zhaorui, et al.
Published: (2026)
by: Li, Zhaorui, et al.
Published: (2026)
Completion by Comprehension: Guiding Code Generation with Multi-Granularity Understanding
by: Zhao, Xinkui, et al.
Published: (2025)
by: Zhao, Xinkui, et al.
Published: (2025)
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations
by: Shang, Xiuwei, et al.
Published: (2024)
by: Shang, Xiuwei, et al.
Published: (2024)
Agentic Verification of Software Systems
by: Tu, Haoxin, et al.
Published: (2025)
by: Tu, Haoxin, et al.
Published: (2025)
DCE-LLM: Dead Code Elimination with Large Language Models
by: Chen, Minyu, et al.
Published: (2025)
by: Chen, Minyu, et al.
Published: (2025)
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
by: Tan, Hanzhuo, et al.
Published: (2024)
by: Tan, Hanzhuo, et al.
Published: (2024)
Combining Tests and Proofs for Better Software Verification
by: Huang, Li, et al.
Published: (2026)
by: Huang, Li, et al.
Published: (2026)
Can Language Models Falsify? Evaluating Algorithmic Reasoning with Counterexample Creation
by: Sinha, Shiven, et al.
Published: (2025)
by: Sinha, Shiven, et al.
Published: (2025)
Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation
by: Zhou, Shuaiyu, et al.
Published: (2025)
by: Zhou, Shuaiyu, et al.
Published: (2025)
Floating-Point Neural Network Verification at the Software Level
by: Manino, Edoardo, et al.
Published: (2025)
by: Manino, Edoardo, et al.
Published: (2025)
Enchanting Program Specification Synthesis by Large Language Models using Static Analysis and Program Verification
by: Wen, Cheng, et al.
Published: (2024)
by: Wen, Cheng, et al.
Published: (2024)
FDI: Attack Neural Code Generation Systems through User Feedback Channel
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks
by: Wei, Tianhao, et al.
Published: (2024)
by: Wei, Tianhao, et al.
Published: (2024)
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
by: Li, Bolun, et al.
Published: (2024)
by: Li, Bolun, et al.
Published: (2024)
SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
by: Lingxiang, Wang, et al.
Published: (2025)
by: Lingxiang, Wang, et al.
Published: (2025)
Cross-modal Retrieval Models for Stripped Binary Analysis
by: Chen, Guoqiang, et al.
Published: (2025)
by: Chen, Guoqiang, et al.
Published: (2025)
GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion
by: Wang, Xingliang, et al.
Published: (2025)
by: Wang, Xingliang, et al.
Published: (2025)
Talking with Verifiers: Automatic Specification Generation for Neural Network Verification
by: Elboher, Yizhak Y., et al.
Published: (2026)
by: Elboher, Yizhak Y., et al.
Published: (2026)
ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
by: Jin, Yiyang, et al.
Published: (2025)
by: Jin, Yiyang, et al.
Published: (2025)
Similar Items
-
Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation
by: Li, Jingyang, et al.
Published: (2026) -
SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
by: Li, Jingyang, et al.
Published: (2026) -
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
by: Sun, Zhensu, et al.
Published: (2022) -
Learning-Based Relaxation of Completeness Requirements for Data Entry Forms
by: Belgacem, Hichem, et al.
Published: (2023) -
Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees
by: Zhang, Guanqin, et al.
Published: (2025)