He-Lan Hu

Most-cited papers

1. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

   Yuliang Liu, Xiangru Tang, Ze-Fan Cai, Jun-Jie Lu +22 more

   202364 citations

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2. PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought

   Junyi Yao, Yi-Jiang Liu, Zhen Dong, Mingfei Guo +5 more

   2024Computer Vision and Pattern Recognition23 citations

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3. Towards a Unified View of Preference Learning for Large Language Models: A Survey

   Bofei Gao, Feifan Song, Yi-Bo Miao, Ze-Fan Cai +21 more

   2024arXiv.org21 citations

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4. ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks

   Yuliang Liu, Xiangru Tang, Ze-Fan Cai, Jun-Jie Lu +22 more

   2023arXiv.org15 citations

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5. Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints

   Kaikai An, Shuzheng Si, He-Lan Hu, Haozhe Zhao +3 more

   2024Annual Meeting of the Association for Computational Linguistics6 citations

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6. Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning

   Shuzheng Si, He-Lan Hu, Haozhe Zhao, Shuang Zeng +3 more

   2023Annual Meeting of the Association for Computational Linguistics6 citations Open access

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7. Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging

   Xiao-Bo Liang, Hao-Ke Zhang, He-Lan Hu, Jun-Tao Li +2 more

   2024arXiv.org4 citations

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8. ML-Bench: Evaluating Large Language Models for Code Generation in Repository-Level Machine Learning Tasks

   Yuliang Liu, Xiang-Ru Tang, Ze-Fan Cai, Jun-Jie Lu +146 more

   4 citations

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9. MemT-1.0: Towards Memory-Native Evolution

   Zhi-Yu Li, Ze-Yu Zhang, Lin-Yun Liu, Yi-Wei Bu +70 more

   20261 citations

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10. Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning

    He-Lan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng +3 more

    2023arXiv.org1 citations

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