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At line 7 changed 5 lines
*Knowledge graph-guided retrieval augmented generation. __Proc. NAACL__
*Controllable protein sequence generation with LLM preference optimization. __Proc. AAAI__
*Prompt-based knowledge graph foundation model for universal in-context reasoning. __Proc. NeurIPS__
*MergeMinds: Boosting Multilingual Reasoning with the Built-in Capabilities of LLMs. __Proc. NeurIPS__
*A pair programming framework for code generation via multi-plan exploration and feedback-driven refinement. __Proc. ASE %%(color:red;)(杰出论文奖)%%__
*DSEBench: A Test Collection for Explainable Dataset Search with Examples. __Proc. APWeb__
*InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation. __Proc. ICML__
*Improving code translation with syntax-guided and semantic-aware preference optimization. __Proc. IJCAI__
*BCaLLM: Call graph-guided Python breaking change detection with large language models. __Proc. ISSTA__
*Bootstrapping code translation with weighted multilanguage exploration. __Proc. ACL__
*How do answer tokens read reasoning traces? Self-reading patterns in thinking LLMs for quantitative reasoning. __Findings of ACL__
*To diff or not to diff? Structure-aware and adaptive output formats for efficient LLM-based code editing. __Findings of ACL__
*FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning. __Findings of ACL__
*Content-Based Dataset Knowledge Graphs for Dataset Search. __Proc. SIGIR__
*SQA: SPARQL Query Annotating with Question-Answer Pairs. __Proc. ESWC__
*CR-TKGQA: A Temporal Knowledge Graph Question Answering Dataset Involving Complex Reasoning. __Proc. ESWC %%(color:red;)(最佳资源论文提名)%%__
*Decomposing complexity: A difficulty-aware multi-agent framework for open-domain knowledge graph construction. __Proc. DASFAA__
*FlowGen: Synthesizing Diverse Flowcharts to Enhance and Benchmark MLLM Reasoning. __Proc. ICLR__
*Self-improving code generation via semantic entropy and behavioral consensus. __Proc. ICPC__
At line 22 added 22 lines
!2026
*Qicheng Shan, Yuxuan Yang, Gong Cheng: Practical Group Steiner Tree Algorithms for Web Applications with Many Groups. __Proc. WWW__
*Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu: ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders. __Proc. AAAI__
*Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Shuyue Hu: Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. __Proc. AAAI__
*Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu: Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models. __Proc. AAAI__
!2025
*Weiqing Luo, Chonggang Song, Lingling Yi, Gong Cheng: TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance. __Proc. CIKM__
*Jing He, Mingyang Lv, Qing Shi, Gong Cheng: GraDaSE: Graph-Based Dataset Search with Examples. __Proc. EMNLP__
*Zitao Wang, Xinyi Wang, Wei Hu: Mixture of LoRA Experts for Continual Information Extraction with LLMs. __Findings of EMNLP__
*Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu: Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition. __Findings of EMNLP__
*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__
At line 45 added 2 lines
*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__
At line 51 added one line
*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)%%__
At line 165 changed 2 lines
*Transfer-and-fusion: Integrated link prediction across knowledge graphs. __IEEE Trans. Knowl. Data Eng.__
*Targeted Training for Numerical Reasoning with Large Language Models. __Knowl. Inf. Syst.__
*Continual document-level relation extraction with partial labeling compensation. __Front. Comput. Sci.__
*CN-PDS: Facilitating Dataset Search with LLMs and Its Application to China's Public Data. __Data Sci. Eng. %%(color:red;)(CCKS 2025最佳应用论文奖)%%__
At line 202 added 3 lines
!2026
*Xiaxia Wang, Qiaosheng Chen, Qing Shi, Weiqing Luo, Jeff Z. Pan, Baifan Zhou, Evgeny Kharlamov, Gong Cheng: CADDIE: A Prototype of Content-Based Ad Hoc RDF Dataset Retrieval. __J. Web Semant.__
At line 206 added 5 lines
*Ziqi Wang, Jingzhe Zhang, Wei Hu: WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search. __Proc. ACM Manag. Data__
*Xinyi Wang, Xiangrong Zhu, Wei Hu: Evidence selection via multi-aspect query diversification for cross-document relation extraction. __J. Intell. Inf. Syst.__
*Yuanning Cui, Zequn Sun, Wei Hu: Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs. __IEEE Trans. Knowl. Data Eng.__
*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__
This page (revision-127) was last changed on 15-May-2026 11:03 by 程龚Top