Liu, Kang

45 publications

AAAI 2025 Adaptive Dual Guidance Knowledge Distillation Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu
AAAI 2025 CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao
ICLR 2025 Capability Localization: Capabilities Can Be Localized Rather than Individual Knowledge Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu
CVPR 2025 Enhanced Contrastive Learning with Multi-View Longitudinal Data for Chest X-Ray Report Generation Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao
ICML 2025 Enhancing Logits Distillation with Plug&Play Kendall’s $τ$ Ranking Loss Yuchen Guan, Runxi Cheng, Kang Liu, Chun Yuan
ICLR 2025 Knowledge Localization: Mission Not Accomplished? Enter Query Localization! Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
AAAI 2025 Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
ICCV 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation Liuchi Xu, Kang Liu, Jinshuai Liu, Lu Wang, Lisheng Xu, Jun Cheng
ICLRW 2025 MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
NeurIPS 2025 MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning? Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
ICLR 2025 MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
AAAI 2025 Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao
NeurIPS 2025 RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen
ECML-PKDD 2025 Towards Deeper GCNs: Alleviating Over-Smoothing via Iterative Training and Fine-Tuning Furong Peng, Jinzhen Gao, Xuan Lu, Kang Liu, Yifan Huo, Sheng Wang
AAAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
ECCVW 2024 Boosting Pose Estimators via Cross-Representation Distillation Kang Liu, Zhendong Yang, Jingyun Zhang, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo
IJCAI 2024 Boundary-Aware Decoupled Flow Networks for Realistic Extreme Rescaling Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo
ICML 2024 DFD: Distilling the Feature Disparity Differently for Detectors Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo
CVPR 2024 Efficient Multi-Scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu
NeurIPS 2024 From Instance Training to Instruction Learning: Task Adapters Generation from Instructions Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
AAAI 2024 Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao
ICLR 2024 Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
IJCAI 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao
NeurIPS 2024 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
NeurIPS 2024 Reasons and Solutions for the Decline in Model Performance After Editing Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Kang Liu
ICLR 2024 SetCSE: Set Operations Using Contrastive Learning of Sentence Embeddings Kang Liu
AAAI 2023 Event Process Typing via Hierarchical Optimal Transport Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao
AAAI 2023 Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao
ICLRW 2022 Ontology-Guided and Text-Enhanced Representation for Knowledge Graph Zero-Shot Relational Learning Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Jun Zhao, Zhengtao Yu
AAAI 2021 Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images Kang Liu, Benjamin Tan, Siddharth Garg
AAAI 2020 Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao
AAAI 2019 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection Jian Liu, Yubo Chen, Kang Liu
AAAI 2019 Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks Shizhu He, Kang Liu, Weiting An
IJCAI 2018 Curriculum Learning for Natural Answer Generation Cao Liu, Shizhu He, Kang Liu, Jun Zhao
AAAI 2018 Event Detection via Gated Multilingual Attention Mechanism Jian Liu, Yubo Chen, Kang Liu, Jun Zhao
AAAI 2018 Large Scaled Relation Extraction with Reinforcement Learning Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao
IJCAI 2017 Conditional Generative Adversarial Networks for Commonsense Machine Comprehension Bingning Wang, Kang Liu, Jun Zhao
AAAI 2017 Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
AAAI 2016 A Joint Model for Question Answering over Multiple Knowledge Bases Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao
AAAI 2016 A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification Shulin Liu, Kang Liu, Shizhu He, Jun Zhao
IJCAI 2016 Employing External Rich Knowledge for Machine Comprehension Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao
AAAI 2016 Knowledge Graph Completion with Adaptive Sparse Transfer Matrix Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao
AAAI 2015 Recurrent Convolutional Neural Networks for Text Classification Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao
IJCAI 2013 Cross Lingual Entity Linking with Bilingual Topic Model Tao Zhang, Kang Liu, Jun Zhao
IJCAI 2013 Opinion Target Extraction Using Partially-Supervised Word Alignment Model Kang Liu, Heng Li Xu, Yang Liu, Jun Zhao