---
title: "Shuming Shi — all works — Elamur Research"
description: "All 40 works of Shuming Shi 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/shuming-shi/works/"
---
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# Shuming Shi — all works

40 works · [← Shuming Shi](https://md.research.elamur.ai/free/en/authors/shuming-shi/)

1. **[Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/liang-2023-encouraging-divergent-thinking-large-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tian Liang, Zhiwei He, Wenxiang Jiao, et al.*2023 · 651 citations*
2. [**Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine arXiv:2301.08745**Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, et al.*2023 · 632 citations*](https://md.research.elamur.ai/free/en/papers/jiao-2023-chatgpt-good-translator-yes-gpt/)
3. **[Deep Neural Solver for Math Word Problems ↗](https://aclanthology.org/D17-1088/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yan Wang, Xiaojiang Liu, Shuming Shi*2017 · 488 citations*
4. **[Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings](https://md.research.elamur.ai/free/en/papers/song-2018-directional-skip-gram-explicitly-distinguishing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yan Song, Shuming Shi, Jing Li, et al.*2018 · 443 citations*
5. **[Document-Level Machine Translation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.*2023 · 297 citations*
6. **[Automatically Solving Number Word Problems by Semantic Parsing and Reasoning ↗](https://aclanthology.org/D15-1135/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shuming Shi et al.*2015 · 267 citations*
7. **[Exploring Human-Like Translation Strategy with Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-exploring-human-like-translation-strategy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhiwei He, Tian Liang, Wenxiang Jiao, et al.*2024 · 207 citations*
8. **[How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation ↗](https://aclanthology.org/P16-1084/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Danqing Huang et al.*2016 · 203 citations*
9. [**GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher arXiv:2308.06463**Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.*2023 · 168 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-gpt-4-too-smart-safe/)
10. **[Learning Fine-Grained Expressions to Solve Math Word Problems ↗](https://aclanthology.org/D17-1084/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Danqing Huang et al.*2017 · 131 citations*
11. **[MAGE: Machine-generated Text Detection in the Wild](https://md.research.elamur.ai/free/en/papers/li-2024-mage-machine-generated-text-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yafu Li, Qintong Li, Leyang Cui, et al.*2024 · 129 citations*
12. **[On the Inference Calibration of Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.278/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Shuo Wang et al.*2020 · 124 citations*
13. **[On the Word Alignment from Neural Machine Translation ↗](https://aclanthology.org/P19-1124/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xintong Li et al.*2019 · 121 citations*
14. **[Exploiting Deep Representations for Neural Machine Translation ↗](https://aclanthology.org/D18-1457/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zi-Yi Dou et al.*2018 · 117 citations*
15. **[Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study](https://md.research.elamur.ai/free/en/papers/chen-2023-exploring-use-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Chen, Rui Wang, Haiyun Jiang, et al.*2023 · 113 citations*
16. **[Topic-Aware Neural Keyphrase Generation for Social Media Language ↗](https://aclanthology.org/P19-1240/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yue Wang et al.*2019 · 110 citations*
17. **[Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory ↗](https://aclanthology.org/N19-1124/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Deng Cai et al.*2019 · 101 citations*
18. **[Self-Attention with Structural Position Representations ↗](https://aclanthology.org/D19-1145/) 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**Xing Wang et al.*2019 · 90 citations*
19. **[Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework ↗](https://aclanthology.org/D19-1195/) 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**Deng Cai et al.*2019 · 86 citations*
20. **[Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training ↗](https://aclanthology.org/D18-1423/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Juntao Li et al.*2018 · 86 citations*
21. [**Knowledge Fusion of Large Language Models arXiv:2401.10491**Fanqi Wan, Xinting Huang, Deng Cai, et al.*2024 · 82 citations*](https://md.research.elamur.ai/free/en/papers/wan-2024-knowledge-fusion-large-language-models/)
22. [**Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration arXiv:2306.09093**Chenyang Lyu, Minghao Wu, Longyue Wang, et al.*2023 · 75 citations*](https://md.research.elamur.ai/free/en/papers/lyu-2023-macaw-llm-multi-modal-language/)
23. **[Semi-supervised Text Style Transfer: Cross Projection in Latent Space ↗](https://aclanthology.org/D19-1499/) 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**Mingyue Shang et al.*2019 · 72 citations*
24. **[On the Evaluation Metrics for Paraphrase Generation ↗](https://aclanthology.org/2022.emnlp-main.208/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lingfeng Shen et al.*2022 · 66 citations*
25. **[Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models](https://md.research.elamur.ai/free/en/papers/pang-2025-salute-classic-revisiting-challenges-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jianhui Pang, Fanghua Ye, Derek Fai Wong, et al.*2025 · 65 citations*
26. **[DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models ↗](https://arxiv.org/abs/2503.04472) arXiv:2503.04472 · no summary yet**Yi Shen et al.*2025 · 57 citations*
27. **[Neural Machine Translation with Adequacy-Oriented Learning ↗](https://arxiv.org/abs/1811.08541) arXiv:1811.08541 · no summary yet**Xiang Kong et al.*2018 · 45 citations*
28. **[One Model to Learn Both: Zero Pronoun Prediction and Translation](https://md.research.elamur.ai/free/en/papers/wang-2019-one-model-learn-both-zero/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Longyue Wang, Zhaopeng Tu, Xing Wang, et al.*2019 · 41 citations*
29. **[Evaluating Explanation Methods for Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.35/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jierui Li et al.*2020 · 38 citations*
30. **[Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model ↗](https://aclanthology.org/2024.naacl-long.451/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Zhiwei He et al.*2024 · 30 citations*
31. **[Benchmarking and Improving Long-Text Translation with Large Language Models ↗](https://aclanthology.org/2024.findings-acl.428/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Longyue Wang et al.*2024 · 26 citations*
32. **[Language Style Transfer from Sentences with Arbitrary Unknown Styles ↗](https://arxiv.org/abs/1808.04071) arXiv:1808.04071 · no summary yet**Yanpeng Zhao et al.*2018 · 20 citations*
33. **[GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation](https://md.research.elamur.ai/free/en/papers/xu-2022-guofeng-benchmark-zero-pronoun-recovery/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.*2022 · 18 citations*
34. **[Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text ↗](https://aclanthology.org/2024.findings-acl.423/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Yafu Li et al.*2024 · 12 citations*
35. **[MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation ↗](https://aclanthology.org/2022.findings-emnlp.439/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Yi Chen et al.*2022 · 10 citations*
36. **[Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics ↗](https://aclanthology.org/2022.findings-acl.14/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Jiannan Xiang et al.*2022 · 5 citations*
37. **[Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models ↗](https://arxiv.org/abs/2004.13270) arXiv:2004.13270 · no summary yet**Shilin He et al.*2020 · 2 citations*
38. **[Mixture of Heterogeneous Grouped Experts for Language Modeling](https://md.research.elamur.ai/free/en/papers/ma-2026-mixture-heterogeneous-grouped-experts-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhicheng Ma, Xiang Liu, Zhaoxiang Liu, et al.*2026*
39. **[IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems ↗](https://aclanthology.org/2023.emnlp-main.922/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xu Huang et al.*2023*
40. **[QuaSE: Accurate Text Style Transfer under Quantifiable Guidance ↗](https://arxiv.org/abs/1804.07007) arXiv:1804.07007 · no summary yet**Yi Liao et al.*2018*