---
title: "Yiming Yang — all works — Elamur Research"
description: "All 29 works of Yiming 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/yiming-yang/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yiming-yang/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yiming Yang](https://md.research.elamur.ai/free/en/authors/yiming-yang/) / all works

# Yiming Yang — all works

29 works · [← Yiming Yang](https://md.research.elamur.ai/free/en/authors/yiming-yang/)

1. [**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/)
2. [**RCV1: A New Benchmark Collection for Text Categorization Research JMLR 5**David D. Lewis, Yiming Yang, Tony G. Rose, et al.*2004 · 2,762 citations*](https://md.research.elamur.ai/free/en/papers/lewis-2004-rcv1-benchmark-collection-text-categorization/)
3. [**RACE: Large-scale ReAding Comprehension Dataset From Examinations**Guokun Lai, Qizhe Xie, Hanxiao Liu, et al.*English · 1,638 citations*](https://md.research.elamur.ai/free/en/papers/lai-2017-race-large-scale-reading-comprehension/)
4. **[MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices](https://md.research.elamur.ai/free/en/papers/sun-2020-mobilebert-compact-task-agnostic-bert/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.*2020 · 1,016 citations*
5. **[Active Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhengbao Jiang, Frank Xu, Luyu Gao, et al.*2023 · 872 citations*
6. **[On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bohan Li, Hao Zhou, Junxian He, et al.*2020 · 833 citations*
7. **[PAL: Program-aided Language Models ↗](https://arxiv.org/abs/2211.10435) arXiv:2211.10435 · no summary yet**Luyu Gao et al.*2022 · 694 citations*
8. **[Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision](https://md.research.elamur.ai/free/en/papers/sun-2023-principle-driven-self-alignment-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al.*2023 · 236 citations*
9. **[Politeness Transfer: A Tag and Generate Approach](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 235 citations*
10. **[Language Models of Code are Few-Shot Commonsense Learners](https://md.research.elamur.ai/free/en/papers/madaan-2022-language-models-code-few-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aman Madaan, Shuyan Zhou, Uri Alon, et al.*2022 · 212 citations*
11. [**Aligning Large Multimodal Models with Factually Augmented RLHF arXiv:2309.14525**Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.*2023 · 176 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-aligning-large-multimodal-models-factually/)
12. **[A Re-evaluation of Knowledge Graph Completion Methods ↗](https://aclanthology.org/2020.acl-main.489/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhiqing Sun et al.*2020 · 160 citations*
13. **[Unsupervised Cross-lingual Transfer of Word Embedding Spaces ↗](https://aclanthology.org/D18-1268/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ruochen Xu et al.*2018 · 150 citations*
14. **[Memory-assisted prompt editing to improve GPT-3 after deployment ↗](https://aclanthology.org/2022.emnlp-main.183/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Aman Madaan et al.*2022 · 140 citations*
15. [**Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models arXiv:2408.00724**Yangzhen Wu, Zhiqing Sun, Shanda Li, et al.*2024 · 122 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-inference-scaling-laws-empirical-analysis/)
16. **[Recitation-Augmented Language Models ↗](https://arxiv.org/abs/2210.01296) arXiv (Cornell University) · no summary yet**Zhiqing Sun et al.*2022 · 119 citations*
17. **[KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering](https://md.research.elamur.ai/free/en/papers/yu-2022-kg-fid-infusing-knowledge-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Donghan Yu, Chenguang Zhu, Yuwei Fang, et al.*2022 · 116 citations*
18. **[A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text ↗](https://aclanthology.org/D19-1370/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Bohan Li et al.*2019 · 87 citations*
19. **[Predicting Performance for Natural Language Processing Tasks ↗](https://aclanthology.org/2020.acl-main.764/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Mengzhou Xia et al.*2020 · 79 citations*
20. **[Unsupervised Learning of Arabic Stemming Using a Parallel Corpus](https://md.research.elamur.ai/free/en/papers/rogati-2003-unsupervised-learning-arabic-stemming-parallel/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Monica Rogati, Scott McCarley, Yiming Yang*2003 · 62 citations*
21. **[Lean-STaR: Learning to Interleave Thinking and Proving ↗](https://arxiv.org/abs/2407.10040) arXiv:2407.10040 · no summary yet**Haohan Lin et al.*2024 · 51 citations*
22. **[Transformer-XL: Language Modeling with Longer-Term Dependency ↗](https://openalex.org/W2906625520) no summary yet**Zihang Dai et al.*2018 · 51 citations*
23. **[Improve Vision Language Model Chain-of-thought Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-improve-vision-language-model-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.*2025 · 42 citations*
24. [**SALMON: Self-Alignment with Instructable Reward Models arXiv:2310.05910**Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-salmon-self-alignment-instructable-reward/)
25. **[Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward](https://md.research.elamur.ai/free/en/papers/zhang-2025-direct-preference-optimization-video-large/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ruohong Zhang, Liangke Gui, Zhiqing Sun, et al.*2025 · 32 citations*
26. **[An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation ↗](https://arxiv.org/abs/1901.07129) arXiv (Cornell University) · no summary yet**Xiang Kong et al.*2019 · 24 citations*
27. [**In-Context Principle Learning from Mistakes arXiv:2402.05403**Tianjun Zhang, Aman Madaan, Luyu Gao, et al.*2024 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2024-context-principle-learning-mistakes/)
28. **[Meta Back-translation ↗](https://arxiv.org/abs/2102.07847) arXiv (Cornell University) · no summary yet**Hieu Pham et al.*2021 · 16 citations*
29. **[The ARIEL-CMU Systems for LoReHLT18 ↗](https://arxiv.org/abs/1902.08899) arXiv (Cornell University) · no summary yet**Aditi Chaudhary et al.*2019 · 6 citations*
