---
title: "Zhilin Yang — all works — Elamur Research"
description: "All 45 works of Zhilin Yang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/zhilin-yang/works/"
---
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# Zhilin Yang — all works

45 works · [← Zhilin Yang](https://md.research.elamur.ai/free/en/authors/zhilin-yang/)

1. **[Transformer-XL: Attentive Language Models beyond a Fixed-Length Context ↗](https://aclanthology.org/P19-1285/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zihang Dai et al.*2019 · 3,901 citations*
2. [**XLNet: Generalized Autoregressive Pretraining for Language Understanding arXiv:1906.08237**Zhilin Yang, Zihang Dai, Yiming Yang, et al.*2019 · 3,857 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-xlnet-generalized-autoregressive-pretraining-language/)
3. **[HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yang-2018-hotpotqa-dataset-diverse-explainable-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhilin Yang, Peng Qi, Saizheng Zhang, et al.*2018 · 3,557 citations*
4. **[GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://md.research.elamur.ai/free/en/papers/du-2022-glm-general-language-model-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxiao Du, Yujie Qian, Xiao Liu, et al.*2022 · 1,455 citations*
5. **[GPT Understands, Too](https://md.research.elamur.ai/free/en/papers/liu-2021-gpt-understands-too/) [AI Open](https://md.research.elamur.ai/free/en/venues/ai-open/)**Xiao Liu, Yanan Zheng, Zhengxiao Du, et al.*2021 · 1,054 citations*
6. **[P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2022 · 1,017 citations*
7. [**P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks arXiv:2110.07602**Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.*2021 · 469 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/)
8. **[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 465 citations*
9. **[Gated-Attention Readers for Text Comprehension ↗](https://arxiv.org/abs/1606.01549) arXiv:1606.01549 · no summary yet**Bhuwan Dhingra et al.*2016 · 463 citations*
10. **[Revisiting Semi-Supervised Learning with Graph Embeddings ↗](https://arxiv.org/abs/1603.08861) arXiv (Cornell University) · no summary yet**Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov*2016 · 340 citations*
11. **[Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants ↗](https://doi.org/10.1016/j.ijinfomgt.2020.102250) International Journal of Information Management · no summary yet**Qian Hu et al.*2020 · 307 citations*
12. **[Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks ↗](https://arxiv.org/abs/1703.06345) arXiv (Cornell University) · no summary yet**Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen*2017 · 285 citations*
13. **[COSNET ↗](https://doi.org/10.1145/2783258.2783268) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yutao Zhang et al.*2015 · 283 citations*
14. **[Differentiable Learning of Logical Rules for Knowledge Base Reasoning ↗](https://arxiv.org/abs/1702.08367) arXiv:1702.08367 · no summary yet**Fan Yang, Zhilin Yang, William W. Cohen*2017 · 256 citations*
15. **[Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 249 citations*
16. **[Multi-Task Cross-Lingual Sequence Tagging from Scratch ↗](https://arxiv.org/abs/1603.06270) arXiv (Cornell University) · no summary yet**Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen*2016 · 226 citations*
17. **[Good Semi-supervised Learning that Requires a Bad GAN ↗](https://arxiv.org/abs/1705.09783) arXiv (Cornell University) · no summary yet**Dai, Zihang et al.*2017 · 220 citations*
18. **[Semi-Supervised QA with Generative Domain-Adaptive Nets ↗](https://aclanthology.org/P17-1096/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zhilin Yang et al.*2017 · 187 citations*
19. **[Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ↗](https://arxiv.org/abs/1711.03953) arXiv (Cornell University) · no summary yet**Zhilin Yang et al.*2017 · 174 citations*
20. **[Neural Models for Reasoning over Multiple Mentions Using Coreference](https://md.research.elamur.ai/free/en/papers/dhingra-2018-neural-models-reasoning-over-multiple/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bhuwan Dhingra, Qiao Jin, Zhilin Yang, et al.*2018 · 151 citations*
21. **[FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning ↗](https://aclanthology.org/2022.acl-long.592/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jing Zhou et al.*2022 · 110 citations*
22. **[WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models ↗](https://doi.org/10.1016/j.aiopen.2021.06.001) AI Open · no summary yet**Sha Yuan et al.*2021 · 109 citations*
23. **[FastMoE: A Fast Mixture-of-Expert Training System ↗](https://arxiv.org/abs/2103.13262) arXiv:2103.13262 · no summary yet**Jiaao He et al.*2021 · 93 citations*
24. **[Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning ↗](https://arxiv.org/abs/2504.11354) arXiv:2504.11354 · no summary yet**Haiming Wang et al.*2025 · 92 citations*
25. **[User reviews and uncertainty assessment: A two stage model of consumers' willingness-to-pay in online markets ↗](https://doi.org/10.1016/j.dss.2013.01.017) Decision Support Systems · no summary yet**Jianan Wu et al.*2013 · 81 citations*
26. **[Encode, Review, and Decode: Reviewer Module for Caption Generation. ↗](https://arxiv.org/abs/1605.07912) arXiv (Cornell University) · no summary yet**Zhilin Yang et al.*2016 · 69 citations*
27. **[Words or Characters? Fine-grained Gating for Reading Comprehension ↗](https://arxiv.org/abs/1611.01724) arXiv (Cornell University) · no summary yet**Zhilin Yang et al.*2016 · 65 citations*
28. **[Transformer-XL: Language Modeling with Longer-Term Dependency ↗](https://openalex.org/W2906625520) no summary yet**Zihang Dai et al.*2018 · 51 citations*
29. **[Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter? ↗](https://doi.org/10.1016/j.joi.2021.101205) Journal of Informetrics · no summary yet**Nibing Zhu, Chang Liu, Zhilin Yang*2021 · 44 citations*
30. **[Linguistic Knowledge as Memory for Recurrent Neural Networks ↗](https://arxiv.org/abs/1703.02620) arXiv (Cornell University) · no summary yet**Bhuwan Dhingra et al.*2017 · 40 citations*
31. **[The relationships between distance factors and international collaborative research outcomes: A bibliometric examination ↗](https://doi.org/10.1016/j.joi.2018.04.004) Journal of Informetrics · no summary yet**Ling Jiang et al.*2018 · 37 citations*
32. **[FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding ↗](https://aclanthology.org/2022.acl-long.38/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yanan Zheng et al.*2022 · 34 citations*
33. **[NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework ↗](https://arxiv.org/abs/2111.04130) arXiv (Cornell University) · no summary yet**Xingcheng Yao et al.*2021 · 34 citations*
34. **[GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations ↗](https://arxiv.org/abs/1806.05662) arXiv (Cornell University) · no summary yet**Zhilin Yang et al.*2018 · 34 citations*
35. **[GLoMo: Unsupervised Learning of Transferable Relational Graphs ↗](https://openalex.org/W2902164678) neural information processing systems · no summary yet**Zhilin Yang et al.*2018 · 21 citations*
36. **[Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs ↗](https://arxiv.org/abs/1508.00715) arXiv (Cornell University) · no summary yet**Zhilin Yang, Jie Tang, William W. Cohen*2015 · 20 citations*
37. **[Distribution Matching for Rationalization ↗](https://doi.org/10.1609/aaai.v35i14.17547) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yongfeng Huang et al.*2021 · 19 citations*
38. **[Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent ↗](https://arxiv.org/abs/1711.07950) arXiv (Cornell University) · no summary yet**Zhilin Yang et al.*2017 · 17 citations*
39. **[A Probabilistic Framework for Location Inference from Social Media ↗](https://arxiv.org/abs/1702.07281) arXiv (Cornell University) · no summary yet**Yujie Qian et al.*2017 · 15 citations*
40. **[Mixtape: Breaking the Softmax Bottleneck Efficiently ↗](https://openalex.org/W2970184163) neural information processing systems · no summary yet**Zhilin Yang et al.*2019 · 8 citations*
41. **[Active learning for networked data based on non-progressive diffusion model ↗](https://doi.org/10.1145/2556195.2556223) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Zhilin Yang et al.*2014 · 6 citations*
42. **[Impact of social capital and guanxi orientation on interfirm communication in marketing channels ↗](https://openalex.org/W2369965604) Systems Engineering - Theory & Practice · no summary yet**Guijun Zhuang et al.*2008 · 5 citations*
43. **[Research on Aristotelian Virtue Education ↗](https://doi.org/10.2991/icsshe-17.2017.71) International Conference on Social Science and Higher Education (ICSSHE) · no summary yet**Zhilin Yang, Honghe Liu*2017*
44. **[Future prospects and conceptual foundation for institutional theory in corporate marketing. ↗](https://ijmm.in/index.php/ijmm/article/view/5) International journal of marketing management. · no summary yet**Zhilin Yang, 苏晨汀*2013*
45. **[SAE ↗](https://doi.org/10.1145/2487575.2487720) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Yang Yang et al.*2013*