---
title: "Dayiheng Liu — all works — Elamur Research"
description: "All 31 works of Dayiheng Liu 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/dayiheng-liu/works/"
---
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# Dayiheng Liu — all works

31 works · [← Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/)

1. [**Qwen3 Technical Report arXiv:2505.09388**An Yang, Anfeng Li, Baosong Yang, et al.*2025 · 3,382 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen3-technical-report/)
2. [**Qwen2.5-Coder Technical Report arXiv:2409.12186**Binyuan Hui, Jian Yang, Zeyu Cui, et al.*2024 · 559 citations*](https://md.research.elamur.ai/free/en/papers/hui-2024-qwen2-5-coder-technical-report/)
3. **[ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training](https://md.research.elamur.ai/free/en/papers/qi-2020-prophetnet-predicting-future-n-gram/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weizhen Qi, Yu Yan, Yeyun Gong, et al.*2020 · 453 citations*
4. [**Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement arXiv:2409.12122**An Yang, Beichen Zhang, Binyuan Hui, et al.*2024 · 417 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-qwen2-5-math-technical-report/)
5. [**Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models arXiv:2506.05176**Yanzhao Zhang, Mingxin Li, Dingkun Long, et al.*2025 · 322 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-qwen3-embedding-advancing-text/)
6. **[The Lessons of Developing Process Reward Models in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-lessons-developing-process-reward-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.*2025 · 161 citations*
7. **[How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Hongyi Yuan, Keming Lu, et al.*2024 · 145 citations*
8. **[ProcessBench: Identifying Process Errors in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zheng-2025-processbench-identifying-process-errors-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.*2025 · 116 citations*
9. **[PolyLM: An Open Source Polyglot Large Language Model ↗](https://arxiv.org/abs/2307.06018) arXiv:2307.06018 · no summary yet**Xiangpeng Wei et al.*2023 · 103 citations*
10. [**Qwen2.5-1M Technical Report arXiv:2501.15383**An Yang, Bowen Yu, Chengyuan Li, et al.*2025 · 102 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen2-5-1m-technical/)
11. **[UniTE: Unified Translation Evaluation](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wan, Dayiheng Liu, Baosong Yang, et al.*2022 · 100 citations*
12. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗](https://arxiv.org/abs/2502.14739) arXiv:2502.14739 · no summary yet**M-A-P Team et al.*2025 · 89 citations*
13. **[RikiNet: Reading Wikipedia Pages for Natural Question Answering ↗](https://aclanthology.org/2020.acl-main.604/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Dayiheng Liu et al.*2020 · 78 citations*
14. **[Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning ↗](https://arxiv.org/abs/1905.12304) arXiv:1905.12304 · no summary yet**Dayiheng Liu et al.*2019 · 73 citations*
15. **[Mask Attention Networks: Rethinking and Strengthen Transformer ↗](https://aclanthology.org/2021.naacl-main.135/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zhihao Fan et al.*2021 · 69 citations*
16. [**CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings arXiv:2501.01257**Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.*2025 · 37 citations*](https://md.research.elamur.ai/free/en/papers/quan-2025-codeelo-benchmarking-competition-level-code/)
17. [**Qwen3Guard Technical Report arXiv:2510.14276**Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.*2025 · 33 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-qwen3guard-technical-report/)
18. **[GCPG: A General Framework for Controllable Paraphrase Generation ↗](https://aclanthology.org/2022.findings-acl.318/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Kexin Yang et al.*2022 · 29 citations*
19. **[Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models](https://md.research.elamur.ai/free/en/papers/qiu-2025-demons-detail-implementing-load-balancing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihan Qiu, Zeyu Huang, Bo Zheng, et al.*2025 · 21 citations*
20. **[START: Self-taught Reasoner with Tools](https://md.research.elamur.ai/free/en/papers/li-2025-start-self-taught-reasoner-tools/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.*2025 · 21 citations*
21. [**Language Models can Self-Lengthen to Generate Long Texts arXiv:2410.23933**Shanghaoran Quan, Tianyi Tang, Bowen Yu, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/quan-2024-language-models-self-lengthen-generate/)
22. **[Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task ↗](https://aclanthology.org/2022.wmt-1.53/) Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yet**Yu Wan et al.*2022 · 12 citations*
23. [**QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management arXiv:2512.12967**Weizhou Shen, Ziyi Yang, Chenliang Li, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/shen-2025-qwenlong-l1-5-post/)
24. **[MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation](https://md.research.elamur.ai/free/en/papers/li-2026-mtr-bench-comprehensive-benchmark-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.*2026 · 9 citations*
25. [**ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization arXiv:2510.24592**Guoxin Chen, Jing Wu, Xinjie Chen, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-reform-reflective-autoformalization-prospective-bounded/)
26. **[Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task ↗](https://aclanthology.org/2022.wmt-1.55/) Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yet**Keqin Bao et al.*2022 · 4 citations*
27. **[Controllable LLM Reasoning via Sparse Autoencoder-Based Steering](https://md.research.elamur.ai/free/en/papers/fang-2026-controllable-llm-reasoning-sparse-autoencoder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Fang, Wenjie Wang, Mingfeng Xue, et al.*2026 · 3 citations*
28. **[Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation ↗](https://aclanthology.org/2023.emnlp-main.852/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mingfeng Xue et al.*2023 · 3 citations*
29. **[Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? ↗](https://aclanthology.org/2022.emnlp-main.330/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pei Zhang et al.*2022 · 3 citations*
30. **[Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors ↗](https://arxiv.org/abs/2302.08975) arXiv:2302.08975 · no summary yet**Keqin Bao et al.*2023 · 2 citations*
31. **[HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs](https://md.research.elamur.ai/free/en/papers/peng-2026-hss-synth-humanities-social-sciences/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ru Peng, Tianyu Zhao, Xijun Gu, et al.*2026*