Chen, Huajun

61 publications

ICLRW 2025 Agentic Knowledgeable Self-Awareness Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLR 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLRW 2025 Benchmarking Agentic Workflow Generation Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPS 2025 HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts Yinuo Jiang, Yan Xiaodong, Keyan Ding, Deng Zhao, Lei Liang, Qiang Zhang, Huajun Chen

AAAI 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

ICLR 2025 MLLM Can See? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen

ICLRW 2025 Mllm Can See? Dynamic Correction Decoding for Hallucination Mitigation Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen

ICLR 2025 Multiple Heads Are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

NeurIPS 2025 ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Mingyang Chen, Linzhuang Sun, Tianpeng Li, Sunhaoze, ZhouYijie, Chenzheng Zhu, Haofen Wang, Jeff Z. Pan, Wen Zhang, Huajun Chen, Fan Yang, Zenan Zhou, Weipeng Chen

ICLR 2025 SaMer: A Scenario-Aware Multi-Dimensional Evaluator for Large Language Models Kehua Feng, Keyan Ding, Jing Yu, Yiwen Qu, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Huajun Chen

AAAI 2025 Tokenization, Fusion, and Augmentation: Towards Fine-Grained Multi-Modal Entity Representation Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

AAAI 2025 TrustUQA: A Trustful Framework for Unified Structured Data Question Answering Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen

NeurIPS 2024 Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

ICLRW 2024 Agents: An Open-Source Framework for Autonomous Language Agents Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shuai Wang, Jiamin Chen, Jintian Zhang, Jing Chen, Xiangru Tang, Peng Cui, Ningyu Zhang, Huajun Chen, Mrinmaya Sachan

ICLRW 2024 AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

IJCAI 2024 Continual Multimodal Knowledge Graph Construction Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen

NeurIPS 2024 DePLM: Denoising Protein Language Models for Property Optimization Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen

ICLR 2024 Domain-Agnostic Molecular Generation with Chemical Feedback Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen

AAAI 2024 Editing Language Model-Based Knowledge Graph Embeddings Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen

IJCAI 2024 FactCHD: Benchmarking Fact-Conflicting Hallucination Detection Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen

IJCAI 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen

NeurIPS 2024 Knowledge Circuits in Pretrained Transformers Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen

ICML 2024 Knowledge-Aware Reinforced Language Models for Protein Directed Evolution Yuhao Wang, Qiang Zhang, Ming Qin, Xiang Zhuang, Xiaotong Li, Zhichen Gong, Zeyuan Wang, Yu Zhao, Jianhua Yao, Keyan Ding, Huajun Chen

NeurIPS 2024 MKGL: Mastery of a Three-Word Language Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

ICLR 2024 Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen

ICLR 2024 Revisit and Outstrip Entity Alignment: A Perspective of Generative Models Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen

ICLRW 2024 Unified Hallucination Detection for Multimodal Large Language Models Xiang Chen, Chenxi Wang, Ningyu Zhang, Yida Xue, Xiaoyan Yang, Yue Shen, Jinjie Gu, Huajun Chen

ICLR 2024 Unveiling the Pitfalls of Knowledge Editing for Large Language Models Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen

NeurIPS 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

NeurIPSW 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

AAAI 2024 When Do Program-of-Thought Works for Reasoning? Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen

AAAI 2023 Analogical Inference Enhanced Knowledge Graph Embedding Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen

AAAI 2023 DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen

AAAI 2023 Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen

IJCAI 2023 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen

IJCAI 2023 Graph Sampling-Based Meta-Learning for Molecular Property Prediction Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen

NeurIPS 2023 Learning Invariant Molecular Representation in Latent Discrete Space Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen

ICLR 2023 Multi-Level Protein Structure Pre-Training via Prompt Learning Zeyuan Wang, Qiang Zhang, Shuang-Wei Hu, Haoran Yu, Xurui Jin, Zhichen Gong, Huajun Chen

AAAI 2023 Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract) Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang

ICLR 2023 Multimodal Analogical Reasoning over Knowledge Graphs Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen

NeurIPS 2023 Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems Lingbing Guo, Weiqing Wang, Zhuo Chen, Ningyu Zhang, Zequn Sun, Yixuan Lai, Qiang Zhang, Huajun Chen

AAAI 2023 On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang

IJCAI 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen

NeurIPS 2022 Decoupling Knowledge from Memorization: Retrieval-Augmented Prompt Learning Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

ICLR 2022 Differentiable Prompt Makes Pre-Trained Language Models Better Few-Shot Learners Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen

ICLRW 2022 From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen

AAAI 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

IJCAI 2022 Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen

AAAI 2022 Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen

NeurIPS 2022 Neural-Symbolic Entangled Framework for Complex Query Answering Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen

ICLR 2022 OntoProtein: Protein Pretraining with Gene Ontology Embedding Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen

ICML 2022 Understanding and Improving Knowledge Graph Embedding for Entity Alignment Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen

AAAI 2021 Contrastive Triple Extraction with Generative Transformer Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

IJCAI 2021 Document-Level Relation Extraction as Semantic Segmentation Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

IJCAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen

IJCAI 2021 Knowledge-Aware Zero-Shot Learning: Survey and Perspective Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, Huajun Chen

IJCAI 2020 Neural Entity Summarization with Joint Encoding and Weak Supervision Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen

AAAI 2020 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining Then Meta-Learning for Few-Shot Text Classification (Student Abstract) Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen

IJCAI 2019 Augmenting Transfer Learning with Semantic Reasoning Freddy Lécué, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen

IJCAI 2017 Learning from Ontology Streams with Semantic Concept Drift Jiaoyan Chen, Freddy Lécué, Jeff Z. Pan, Huajun Chen

AAAI 2008 Semantic Web Development for Traditional Chinese Medicine Zhaohui Wu, Tong Yu, Huajun Chen, Xiaohong Jiang, Chunying Zhou, Yu Zhang, Yuxin Mao, Yi Feng, Meng Cui, Aining Yin