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*Knowledge graph-guided retrieval augmented generation. __Proc. NAACL__
*Controllable protein sequence generation with LLM preference optimization. __Proc. AAAI__
*A pair programming framework for code generation via multi-plan exploration and feedback-driven refinement. __Proc. ASE %%(color:red;)(杰出论文奖)%%__
*ProtSAE: Disentangling and interpreting protein language models via semantically-guided sparse autoencoders. __Proc. AAAI__
*Answering the unanswerable is to err knowingly: Analyzing and mitigating abstention failures in large reasoning models. __Proc. AAAI__
*Do we truly need so many samples? Multi-LLM repeated sampling efficiently scales test-time compute. __Proc. AAAI__
*GraDaSE: Graph-Based Dataset Search with Examples. __Proc. EMNLP__
*Mixture of LoRA experts for continual information extraction with LLMs. __Findings of EMNLP__
*Avoiding knowledge edit skipping in multi-hop question answering with guided decomposition. __Findings of EMNLP__
*TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance. __Proc. CIKM__
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!2025
*Xiangrong Zhu, Yuexiang Xie, Yang Liu, Yaliang Li, Wei Hu: Parameter-Efficient Federated Knowledge Graph Embedding Learning and Unlearning. __Proc. ISWC__
*Chuan Xu, Qiaosheng Chen, Yutong Feng, Gong Cheng: mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs. __Proc. ISWC__
*Yang Liu, Zequn Sun, Zhoutian Shao, Yuanning Cui, Wei Hu: Are LLMs Really Knowledgeable for Knowledge Graph Completion? __Proc. ISWC %%(color:red;)(亮点论文)%%__
*Xiang Huang, Jiayu Shen, Shanshan Huang, Sitao Cheng, Xiaxia Wang, Yuzhong Qu: TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data. __Proc. ACL__
*Rongzhi Zhu, Xiangyu Liu, Zequn Sun, Yiwei Wang, Wei Hu: Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering. __Proc. ACL__
*Xiang Huang, Ting-En Lin, Feiteng Fang, Yuchuan Wu, Hangyu Li, Yuzhong Qu, Fei Huang, Yongbin Li: Reverse Preference Optimization for Complex Instruction Following. __Findings of ACL__
*Xiao Zhou, Qiaosheng Chen, Jiageng Chen, Gong Cheng: μDS: Multi-Objective Data Snippet Extraction for Dataset Search. __Proc. SIGIR__
*Qiaosheng Chen, Kaijia Huang, Xiao Zhou, Weiqing Luo, Yuanning Cui, Gong Cheng: Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Grap. __Proc. SIGIR__
*Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu: Knowledge Graph-Guided Retrieval Augmented Generation. __Proc. NAACL__
*Xiangyu Liu, Yi Liu, Silei Chen, Wei Hu: Controllable Protein Sequence Generation with LLM Preference Optimization. __Proc. AAAI__
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*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)%%__
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*WoW: A window-to-window incremental index for range-filtering approximate nearest neighbor search. __Proc. ACM Manag. Data__
*Continual document-level relation extraction with partial labeling compensation. __Front. Comput. Sci.__
*Evidence selection via multi-aspect query diversification for cross-document relation extraction. __Int. J. Intell. Inf. Technol.__
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*Targeted Training for Numerical Reasoning with Large Language Models. __Knowl. Inf. Syst.__
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*Yang Liu, Xiaoxia Jiang, Yuanning Cui, Yu Wang, Wei Hu: Missing data recovery for heterogeneous graphs with incremental multi-source data fusion. __Front. Comput. Sci.__
*Xiao Li, Sichen Liu, Yin Zhu, Gong Cheng: Targeted training for numerical reasoning with large language models. __Knowl. Inf. Syst.__
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*Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu: Deep Active Alignment of Knowledge Graph Entities and Schemata. __PACMMOD__
*Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu: Deep Active Alignment of Knowledge Graph Entities and Schemata. __Proc. ACM Manag. Data__
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