Zhang, Ge

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

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Topic ModelingNatural Language Processing Techniques

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MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Wang, Y., Ma, X., Zhang, G., Ni, Y., Chandra, A., Guo, S., Ren, W., Arulraj, A., He, X., Jiang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

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McEval: Massively Multilingual Code Evaluation

Chai, L., Liu, S., Yang, J., Yin, Y., Jin, K., Liu, J., Sun, T., Zhang, G., Ren, C., Guo, H., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

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Yi: Open Foundation Models by 01.AI

AI, 0., :, Young, A., Chen, B., Li, C., Huang, C., Zhang, G., Zhang, G., Wang, G., Li, H., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

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Training Socially Aligned Language Models on Simulated Social Interactions

Liu, R., Yang, R., Jia, C., Zhang, G., Zhou, D., Dai, A. M., Yang, D., & Vosoughi, S. (2023) · arXiv

Ethics and Social Impacts of AITopic Modeling

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Massive Editing for Large Language Models via Meta Learning

Tan, C., Zhang, G., & Fu, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

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Karpa: A training-free method of adapting knowledge graph as references for large language model's reasoning path aggregation

Fang, S., Ma, K., Zheng, T., Du, X., Lu, N., Zhang, G., & Tang, Q. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Advanced Graph Neural NetworksTopic Modeling

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