Shihan Dou

Orcid: 0009-0002-6013-3035

According to our database¹, Shihan Dou authored at least 30 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

COCL: An Intelligent Framework for Enhancing Deep Learning-Based Vulnerability Detection.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, March, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution.

[BibT_eX]

[DOI]

CoRR, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

2023

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.

[BibT_eX]

[DOI]

CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.

[BibT_eX]

[DOI]

CoRR, 2023

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing.

[BibT_eX]

[DOI]

CoRR, 2023

Gitor: Scalable Code Clone Detection by Building Global Sample Graph.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

VulCNN: An Image-inspired Scalable Vulnerability Detection System.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

IntDroid: Android Malware Detection Based on API Intimacy Analysis.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2021

Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner.

[BibT_eX]

[DOI]

CoRR, 2021

Obfuscation-resilient Android Malware Analysis Based on Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

SCDetector: Software Functional Clone Detection Based on Semantic Tokens Analysis.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Shihan Dou

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