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At line 7 changed 14 lines
*A pair programming framework for code generation via multi-plan exploration and feedback-driven refinement. __Proc. ASE__
*Can ChatGPT solve relation extraction? An extensive assessment via design choice exploration. __Proc. NLPCC__
*DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search. __Proc. ISWC__
*Finetuning generative large language models with discrimination instructions for knowledge graph completion. __Proc. ISWC__
*Expanding the scope: Inductive knowledge graph reasoning with multi-starting progressive propagation. __Proc. ISWC__
*Multi-aspect controllable text generation with disentangled counterfactual augmentation. __Proc. ACL__
*Dataflow-guided retrieval augmentation for repository-level code completion. __Proc. ACL__
*Timeline-based sentence decomposition with in context learning for temporal fact extraction. __Proc. ACL__
*QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. __Proc. ACL__
*A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. __Proc. IJCAI__
*KnowLA: Enhancing parameter-efficient finetuning with knowledgeable adaptation. __Proc. NAACL__
*Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. __Proc. NAACL__
*A Branching Decoder for Set Generation. __Proc. ICLR__
*Generating explanations to understand and repair embedding-based entity alignment. __Proc. ICDE__
*Knowledge graph-guided retrieval augmented generation. __Proc. NAACL__
*Controllable protein sequence generation with LLM preference optimization. __Proc. AAAI__
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*Yuanning Cui, Zequn Sun, Wei Hu: A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning. __Proc. NeurIPS__
*Zixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan: MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages. __Proc. NeurIPS__
*Qiaosheng Chen, Xiao Zhou, Zhiyang Zhang, Gong Cheng: DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search. __Proc. ISWC__
*Yang Liu, Xiaobin Tian, Zequn Sun, Wei Hu: Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. __Proc. ISWC__
*Zhoutian Shao, Yuanning Cui, Wei Hu: Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation. __Proc. ISWC__
*Xinyi Wang, Wenzheng Zhao, Xiangrong Zhu, Wei Hu: Can ChatGPT Solve Relation Extraction? An Extensive Assessment via Design Choice Exploration. __Proc. NLPCC__
*Huan Zhang, Wei Cheng, Yuhan Wu, Wei Hu: A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement. __Proc. ASE %%(color:red;)(杰出论文奖)%%__
*Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu: Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation. __Proc. ACL__
*Wei Cheng, Yuhan Wu, Wei Hu: Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion. __Proc. ACL__
*Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu: Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction. __Proc. ACL__
*Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu: QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. __Proc. ACL__
*Xiaxia Wang, Gong Cheng: A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions. __Proc. IJCAI__
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*Xindi Luo, Zequn Sun, Jing Zhao, Zhe Zhao, Wei Hu: KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. __Proc. NAACL__
*Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang: Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. __Proc. NAACL__
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*Zixian Huang, Gengyang Xiao, Yu Gu, Gong Cheng: A Branching Decoder for Set Generation. __Proc. ICLR__
*Xiaobin Tian, Zequn Sun, Wei Hu: Generating Explanations to Understand and Repair Embedding-Based Entity Alignment. __Proc. ICDE__
At line 161 changed 2 lines
*Targeted Training for Numerical Reasoning with Large Language Models. __Knowl. Inf. Syst.__
*Position-aware Relational Transformer for Knowledge Graph Embedding. __IEEE Trans. Neural Netw. Learn. Syst.__
*Transfer-and-fusion: Integrated link prediction across knowledge graphs. __IEEE Trans. Knowl. Data Eng.__
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!2025
*Xiao Li, Sichen Liu, Yin Zhu, Gong Cheng: Targeted training for numerical reasoning with large language models. __Knowl. Inf. Syst.__
*Zixian Huang, Xinwei Huang, Ao Wu, Xiaxia Wang, Gong Cheng: Transforming decoder-only models into encoder-only models with improved understanding capabilities. __Knowl. Based Syst.__
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*Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng, Yuzhong Qu: Position-Aware Relational Transformer for Knowledge Graph Embedding. __IEEE Trans. Neural Netw. Learn. Syst.__
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*Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. __Knowl. Based Syst.__
*Liang Zheng, Yuzhong Qu, Xinqi Qian, Gong Cheng: A hierarchical co-clustering approach for entity exploration over Linked Data. __Knowl.-Based Syst.__
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!2024
*崔员宁, 孙泽群, 胡伟. 基于规则提示的知识图谱通用推理预训练模型. __计算机研究与发展__
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