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*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)%%__
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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__
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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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*Targeted Training for Numerical Reasoning with Large Language Models. __Knowl. Inf. Syst.__
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*Xiao Li, Sichen Liu, Yin Zhu, Gong Cheng: Targeted training for numerical reasoning with large language models. __Knowl. Inf. Syst.__