Shuliang Liu

Orcid: 0009-0006-9788-0228

According to our database1, Shuliang Liu authored at least 23 papers between 1999 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2025
WakenLLM: Evaluating Reasoning Potential and Stability in LLMs via Fine-Grained Benchmarking.
CoRR, July, 2025

VLA-Mark: A cross modal watermark for large vision-language alignment model.
CoRR, July, 2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
CoRR, July, 2025

Video Signature: In-generation Watermarking for Latent Video Diffusion Models.
CoRR, June, 2025

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities.
CoRR, May, 2025

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?
CoRR, May, 2025

TreeHop: Generate and Filter Next Query Embeddings Efficiently for Multi-hop Question Answering.
CoRR, April, 2025

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality.
CoRR, April, 2025

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unlocking Speech Instruction Data Potential with Query Rewriting.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
DAEiS-Net: Deep Aggregation Network with Edge Information Supplement for Tunnel Water Stain Segmentation.
Sensors, September, 2024

MarkLLM: An Open-Source Toolkit for LLM Watermarking.
CoRR, 2024

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking.
CoRR, 2024

MSDNet: A Multi-Scale Feature Representation Network Model for Tunnel Bolt Detection.
IEEE Access, 2024

2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Research on the Impact of Internal Control on Risk Management of Chinese Listed Insurance Companies.
Proceedings of the ICEME 2021: The 12th International Conference on E-business, Management and Economics, Beijing, China, July 17, 2021

Research on the Level of Economic Comprehensive Development in Central and Western Regions of China.
Proceedings of the ICEME 2021: The 12th International Conference on E-business, Management and Economics, Beijing, China, July 17, 2021

2019
Experimental study of debris flow velocity and energy dissipation in soft-based energy dissipation drainage canal.
Proceedings of the 8th International Conference on Informatics, 2019

2008
The Application of Grey Correlation Analysis in the Big Electrical Customers from Baoding City.
Proceedings of the Fourth International Conference on Natural Computation, 2008

1999
Development & Application of Wall-Climbing Robots.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999


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