---
title: "Shaohan Huang — all works — Elamur Research"
description: "All 26 works of Shaohan Huang 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/shaohan-huang/works/"
---
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# Shaohan Huang — all works

26 works · [← Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/)

1. [**LayoutLM: Pre-training of Text and Layout for Document Image Understanding arXiv:1912.13318**Yiheng Xu, Minghao Li, Lei Cui, et al.*2019 · 896 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-layoutlm-pre-training-text-layout/)
2. **[Neural Document Summarization by Jointly Learning to Score and Select Sentences](https://md.research.elamur.ai/free/en/papers/zhou-2018-neural-document-summarization-jointly-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Zhou, Nan Yang, Furu Wei, et al.*2018 · 450 citations*
3. **[Language Is Not All You Need: Aligning Perception with Language Models](https://md.research.elamur.ai/free/en/papers/huang-2023-language-all-need-aligning-perception/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shaohan Huang, Li Dong, Wenhui Wang, et al.*2023 · 330 citations*
4. **[MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers ↗](https://aclanthology.org/2021.findings-acl.188/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Wenhui Wang et al.*2021 · 311 citations*
5. [**Kosmos-2: Grounding Multimodal Large Language Models to the World arXiv:2306.14824**Zhiliang Peng, Wenhui Wang, Li Dong, et al.*2023 · 286 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/)
6. [**Retentive Network: A Successor to Transformer for Large Language Models arXiv:2307.08621**Yutao Sun, Li Dong, Shaohan Huang, et al.*2023 · 265 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-retentive-network-successor-transformer-large/)
7. **[DocBank: A Benchmark Dataset for Document Layout Analysis ↗](https://aclanthology.org/2020.coling-main.82/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Minghao Li et al.*2020 · 254 citations*
8. **[PromptBERT: Improving BERT Sentence Embeddings with Prompts ↗](https://aclanthology.org/2022.emnlp-main.603/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ting Jiang et al.*2022 · 198 citations*
9. **[Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph ↗](https://aclanthology.org/2020.emnlp-main.54/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Haozhe Ji et al.*2020 · 145 citations*
10. **[Scaling Sentence Embeddings with Large Language Models](https://md.research.elamur.ai/free/en/papers/jiang-2024-scaling-sentence-embeddings-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ting Jiang, Shaohan Huang, Zhongzhi Luan, et al.*2024 · 127 citations*
11. **[XLM-E: Cross-lingual Language Model Pre-training via ELECTRA](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zewen Chi, Shaohan Huang, Li Dong, et al.*2022 · 127 citations*
12. **[LongNet: Scaling Transformers to 1,000,000,000 Tokens ↗](https://arxiv.org/abs/2307.02486) arXiv:2307.02486 · no summary yet**Jiayu Ding et al.*2023 · 123 citations*
13. **[A Length-Extrapolatable Transformer](https://md.research.elamur.ai/free/en/papers/sun-2023-length-extrapolatable-transformer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yutao Sun, Li Dong, Barun Patra, et al.*2023 · 118 citations*
14. **[THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ↗](https://aclanthology.org/2022.findings-acl.277/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Tianyu Chen et al.*2022 · 107 citations*
15. **[mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs ↗](https://aclanthology.org/2021.emnlp-main.125/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zewen Chi et al.*2021 · 91 citations*
16. **[Calibrating LLM-Based Evaluator](https://md.research.elamur.ai/free/en/papers/liu-2024-calibrating-llm-based-evaluator/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.*2024 · 71 citations*
17. **[Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models ↗](https://arxiv.org/abs/2402.13064) arXiv:2402.13064 · no summary yet**Haoran Li et al.*2024 · 65 citations*
18. **[Reasoning with Exploration: An Entropy Perspective ↗](https://arxiv.org/abs/2506.14758) arXiv:2506.14758 · no summary yet**Daixuan Cheng et al.*2025 · 63 citations*
19. **[Instruction Pre-Training: Language Models are Supervised Multitask Learners](https://md.research.elamur.ai/free/en/papers/cheng-2024-instruction-pre-training-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.*2024 · 59 citations*
20. **[On-Policy Context Distillation for Language Models ↗](https://arxiv.org/abs/2602.12275) arXiv:2602.12275 · no summary yet**Tianzhu Ye et al.*2026 · 36 citations*
21. **[Adapting Large Language Models to Domains via Reading Comprehension ↗](https://arxiv.org/abs/2309.09530) arXiv:2309.09530 · no summary yet**Daixuan Cheng, Shaohan Huang, Furu Wei*2023 · 33 citations*
22. **[Dictionary-Guided Editing Networks for Paraphrase Generation ↗](https://arxiv.org/abs/1806.08077) arXiv:1806.08077 · no summary yet**Shaohan Huang et al.*2018 · 29 citations*
23. **[SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/wang-2026-sppo-sequence-level-ppo-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Wang, Yixia Li, Long Li, et al.*2026 · 8 citations*
24. **[Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Zhang, Xun Wu, Shaohan Huang, et al.*2026 · 1 citation*
25. **[Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-refine-self-refinement-parallel/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qibin Wang, Pu Zhao, Shaohan Huang, et al.*2026*
26. **[Shorten After You're Right: Lazy Length Penalties for Reasoning RL ↗](https://aclanthology.org/2026.findings-acl.626/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Danlong Yuan et al.*2026*