Qingbin Liu

According to our database, Qingbin Liu authored at least 34 papers between 2002 and 2025.

Collaborative distances:

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

2025

Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward.

Zikang Liu, Tongtian Yue, Yepeng Tang, Longteng Guo, Junxian Cai, Qingbin Liu, Xi Chen, Jing Liu

CoRR, June, 2025

ScEdit: Script-based Assessment of Knowledge Editing.

Xinye Li, Zunwen Zheng, Qian Zhang, Dekai Zhuang, Jiabao Kang, Liyan Xu, Qingbin Liu, Xi Chen, Zhiying Tu, Dianhui Chu, Dianbo Sui

CoRR, May, 2025

LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models.

Zhanyue Qin, Yue Ding, Deyuan Liu, Qingbin Liu, Junxian Cai, Xi Chen, Zhiying Tu, Dianhui Chu, Cuiyun Gao, Dianbo Sui

CoRR, May, 2025

TRACE: Temporal Grounding Video LLM via Causal Event Modeling.

Yongxin Guo, Jingyu Liu, Mingda Li, Qingbin Liu, Xi Chen, Xiaoying Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HFF-Tracker: A Hierarchical Fine-grained Fusion Tracker for Referring Multi-Object Tracking.

Zeyong Zhao, Yanchao Hao, Minghao Zhang, Qingbin Liu, Bo Li, Dianbo Sui, Shizhu He, Xi Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding.

Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations.

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Enhancing Long Video Understanding via Hierarchical Event-Based Memory.

Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao

CoRR, 2024

TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations.

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Bo Zhao, Xi Chen, Hui Xiong

CoRR, 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.

Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Xi Chen, Cunhang Fan, Zhao Lv, Zhiying Tu, Dianhui Chu, Dianbo Sui

CoRR, 2024

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models.

Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng, Qingbin Liu, Mengru Wang, Dianbo Sui, Xi Chen, Huajun Chen, Ningyu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.

Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui

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

Analyzing Chain-of-thought Prompting in Black-Box Large Language Models via Estimated V-information.

Zecheng Wang, Chunshan Li, Zhao Yang, Qingbin Liu, Yanchao Hao, Xi Chen, Dianhui Chu, Dianbo Sui

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Language Model-Based Knowledge Graph Embeddings.

Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision.

Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao

J. Comput. Sci. Technol., December, 2023

Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network.

Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao

J. Comput. Sci. Technol., July, 2023

Knowledge-augmented Few-shot Visual Relation Detection.

Tianyu Yu, Yangning Li, Jiaoyan Chen, Yinghui Li, Hai-Tao Zheng, Xi Chen, Qingbin Liu, Wenqiang Liu, Dongxiao Huang, Bei Wu, Yexin Wang

CoRR, 2023

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning.

Qingbin Liu, Yin Kung, Yanchao Hao, Dianbo Sui, Siyuan Cheng, Xi Chen, Ningyu Zhang, Jiaoyan Chen

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

Novel Slot Detection With an Incremental Setting.

Chen Liang, Hongliang Li, Changhao Guan, Qingbin Liu, Jian Liu, Jinan Xu, Zhe Zhao

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

Can We Edit Multimodal Large Language Models?

Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks.

Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen

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

2021

Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue.

Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao

Knowl. Based Syst., 2021

A Unified Shared-Private Network with Denoising for Dialogue State Tracking.

Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

J. Comput. Sci. Technol., 2021

Lifelong Intent Detection via Multi-Strategy Rebalancing.

Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao

CoRR, 2021

Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.

Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension.

Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

2019

A bypass-based low latency network-on-chip router.

Peng Guo, Qingbin Liu, Ruizhi Chen, Lei Yang, Donglin Wang

IEICE Electron. Express, 2019

Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking.

Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

CoRR, 2019

2018

Learning to Detect Verbose Expressions in Spoken Texts.

Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2017

Mapping Typical Urban LULC from Landsat Imagery without Training Samples or Self-Defined Parameters.

Hui Li, Cuizhen Wang, Cheng Zhong, Zhi Zhang, Qingbin Liu

Remote. Sens., 2017

ParaView visualization of Abaqus output on the mechanical deformation of complex microstructures.

Qingbin Liu, Jiang Li, Jie Liu

Comput. Geosci., 2017

Design and realization of a X-band graphene amplifier MMIC.

Xubo Song, Cui Yu, Zezhao He, Qingbin Liu, Tingting Han, Shaobo Dun, Yuanjie Lv, Shujun Cai, Zhihong Feng

Proceedings of the 12th IEEE International Conference on ASIC, 2017

2016

Computational challenges in the analyses of petrophysics using microtomography and upscaling: A review.

Jie Liu, Gerald G. Pereira, Qingbin Liu, Klaus Regenauer-Lieb

Comput. Geosci., 2016

2002

Experimental study on the ice pattern fabrication for the investment casting by rapid freeze prototyping (RFP).

Qingbin Liu, Guanghua Sui, Ming C. Leu

Comput. Ind., 2002