Yongkang Liu

According to our database, Yongkang Liu authored at least 33 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Systematic Analysis of the Impact of Persona Steering on LLM Capabilities.

Jiaqi Chen, Ming Wang, Tingna Xie, Shi Feng, Yongkang Liu

CoRR, April, 2026

NEAT: Neuron-Based Early Exit for Large Reasoning Models.

Kang Liu, Yongkang Liu, Xiaocui Yang, Peidong Wang, Wen Zhang, Shi Feng, Yifei Zhang, Daling Wang

CoRR, February, 2026

PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs.

Zijing Wang, Yongkang Liu, Mingyang Wang, Ercong Nie, Deyuan Chen, Zhengjie Zhao, Shi Feng, Daling Wang, Xiaocui Yang, Yifei Zhang, Hinrich Schütze

CoRR, January, 2026

High-Rank Structured Modulation for Parameter-Efficient Fine-Tuning.

Yongkang Liu, Xing Li, Mengjie Zhao, Shanru Zhang, Zijing Wang, Qian Li, Shi Feng, Feiliang Ren, Daling Wang, Hinrich Schütze

CoRR, January, 2026

SAD: A Large-Scale Strategic Argumentative Dialogue Dataset.

Yongkang Liu, Jiayang Yu, Mingyang Wang, Yiqun Zhang, Ercong Nie, Shi Feng, Daling Wang, Kaisong Song, Hinrich Schütze

CoRR, January, 2026

SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning.

Peidong Wang, Zhiming Ma, Xin Dai, Yongkang Liu, Shi Feng, Xiaocui Yang, Wenxing Hu, Zhihao Wang, Mingjun Pan, Li Yuan, Daling Wang

CoRR, January, 2026

Knowledge Graph Augmented Generation for Examination Questions.

Qian Li, Ziqing Zhao, Yongkang Liu, Ning Liu, Lizhen Cui

IEEE Trans. Learn. Technol., 2026

Mixture of embedding experts for open knowledge graphs.

Qian Li, Chengwei Qin, Yongkang Liu, Lizhen Cui

Neurocomputing, 2026

Enhancing LLM-Based Recommendation with Semantic-Aligned Collaborative Knowledge.

Zihan Wang, Jinghao Lin, Xiaocui Yang, Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Ge Yu

Proceedings of the Database Systems for Advanced Applications, 2026

2025

MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis.

Xingle Xu, Yongkang Liu, Dexian Cai, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang

CoRR, August, 2025

Look Within or Look Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning.

Yongkang Liu, Xingle Xu, Ercong Nie, Zijing Wang, Shi Feng, Daling Wang, Qian Li, Hinrich Schütze

CoRR, May, 2025

Why Do More Experts Fail? A Theoretical Analysis of Model Merging.

Zijing Wang, Xingle Xu, Yongkang Liu, Yiqun Zhang, Peiqin Lin, Shi Feng, Xiaocui Yang, Daling Wang, Hinrich Schütze

CoRR, May, 2025

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge.

Zihan Wang, Jinghao Lin, Xiaocui Yang, Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang

CoRR, April, 2025

MEKiT: Multi-source Heterogeneous Knowledge Injection Method via Instruction-Tuning for Emotion-Cause Pair Extraction.

Shiyi Mu, Yongkang Liu, Shi Feng, Xiaocui Yang, Daling Wang, Yifei Zhang

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles.

Zihan Wang, Xiaocui Yang, Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Pixel-Level Reasoning Segmentation via Multi-turn Conversations.

Dexian Cai, Xiaocui Yang, Yongkang Liu, Daling Wang, Shi Feng, Yifei Zhang, Soujanya Poria

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Large Language Model Enhanced Text-to-SQL Generation: A Survey.

Xiaohu Zhu, Qian Li, Lizhen Cui, Yongkang Liu

CoRR, 2024

ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language.

Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

CoRR, 2024

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy.

Yongkang Liu, Yiqun Zhang, Qian Li, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

CoRR, 2024

A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation.

Yongkang Liu, Ercong Nie, Shi Feng, Zheng Hua, Zifeng Ding, Daling Wang, Yifei Zhang, Hinrich Schütze

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy.

Yongkang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ChatZero: Zero-Shot Cross-Lingual Dialogue Generation via Pseudo-Target Language.

Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

An Understanding-oriented Robust Machine Reading Comprehension Model.

Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

Evaluate What You Can't Evaluate: Unassessable Generated Responses Quality.

Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

CoRR, 2023

PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism.

Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze

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

2022

Deep Understanding Based Multi-Document Machine Reading Comprehension.

Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection.

Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang

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

MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation.

Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang

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

2021

A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training.

Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph.

Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu

CoRR, 2018

Neural Relation Classification with Text Descriptions.

Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling.

Lingfeng Pan, Yi Zhang, Feiliang Ren, Yining Hou, Yan Li, Xiaobo Liang, Yongkang Liu

Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018

An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention.

Yongkang Liu, Xiaobo Liang, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan

Proceedings of the Evaluation Tasks at the China Conference on Knowledge Graph and Semantic Computing (CCKS 2018), 2018