🧑‍🔬 Weizhu Chen — all works

37 works · ← Weizhu Chen

1. LoRA: Low-Rank Adaptation of Large Language ModelsarXiv:2106.09685Edward J. Hu, Yelong Shen, Phillip Wallis, et al.2021 · 8,661 citations
2. DeBERTa: Decoding-enhanced BERT with Disentangled AttentionarXiv:2006.03654Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al.2020 · 1,828 citations
3. Multi-Task Deep Neural Networks for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Liu, Pengcheng He, Weizhu Chen, et al.2019 · 1,524 citations
4. DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,320 citations
5. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
6. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsFindings of the Association for Computational LinguisticsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 575 citations
7. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
8. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackarXiv:2302.12813Baolin Peng, Michel Galley, Pengcheng He, et al.2023 · 363 citations
9. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
10. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoming Jiang, Pengcheng He, Weizhu Chen, et al.2020 · 304 citations
11. TAPEX: Table Pre-training via Learning a Neural SQL ExecutorarXiv:2107.07653Qian Liu, Bei Chen, Jiaqi Guo, et al.2021 · 255 citations
12. Understanding the Difficulty of Training TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.2020 · 231 citations
13. ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingarXiv:2309.17452Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 225 citations
14. Making Language Models Better Reasoners with Step-Aware VerifierAnnual Meeting of the Association for Computational Linguistics (ACL)Yifei Li, Zeqi Lin, Shizhuo Zhang, et al.2023 · 217 citations
15. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
16. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
17. Generation-Augmented Retrieval for Open-domain Question AnsweringarXiv:2009.08553Yuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 151 citations
18. A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWoojeong Jin et al.2022 · 149 citations
19. Adversarial Training for Large Neural Language Models ↗arXiv (Cornell University) · no summary yetXiaodong Liu et al.2020 · 148 citations
20. Generation-Augmented Retrieval for Open-Domain Question Answering ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetYuning Mao et al.2021 · 145 citations
21. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 142 citations
22. Few-Shot Named Entity Recognition: An Empirical Baseline Study ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetJiaxin Huang et al.2021 · 140 citations
23. Controllable Natural Language Generation with Contrastive PrefixesFindings of the Association for Computational LinguisticsJing Qian, Li Dong, Yelong Shen, et al.2022 · 130 citations
24. RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation ↗arXiv:2303.12570 · no summary yetFengji Zhang et al.2023 · 119 citations
25. Reinforcement Learning for Reasoning in Large Language Models with One Training Example ↗arXiv:2504.20571 · no summary yetYiping Wang et al.2025 · 87 citations
26. Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetTao Shen et al.2020 · 87 citations
27. OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetZhengbao Jiang et al.2022 · 80 citations
28. Beyond ten blue links ↗ACM International Conference on Web Search and Data Mining (WSDM) · no summary yetDanqi Chen et al.2012 · 71 citations
29. Learning From Mistakes Makes LLM Better Reasoner ↗arXiv:2310.20689 · no summary yetShengnan An et al.2023 · 64 citations
30. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
31. The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations · no summary yetXiaodong Liu et al.2020 · 56 citations
32. HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetJiaao Chen et al.2021 · 49 citations
33. Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning ↗arXiv:2403.02333 · no summary yetYiming Huang et al.2024 · 45 citations
34. Code Execution with Pre-trained Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetChenxiao Liu et al.2023 · 38 citations
35. Automatic Instruction Evolving for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Zeng, Can Xu, Yingxiu Zhao, et al.2024 · 28 citations
36. HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization ↗arXiv (Cornell University) · no summary yetJiaao Chen et al.2021 · 6 citations
37. Characterizing Inverse Time Dependency in Multi-class Learning ↗Proceedings · no summary yetDanqi Chen, Weizhu Chen, Qiang Yang2011 · 2 citations

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