---
title: "Dayiheng Liu — papers"
description: "Dayiheng Liu: 10 papers in the Elamur Research library (2020–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/dayiheng-liu/"
---
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# Dayiheng Liu

10 papers on this site (2020–2025)

[OpenAlex](https://openalex.org/A5062188134) · [ORCID](https://orcid.org/0000-0002-8755-8941) · h-index 22 · 124 works · 1946 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [ProcessBench: Identifying Process Errors in Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/zheng-2025-processbench-identifying-process-errors-mathematical/) — Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al. · 2025
- [Qwen2.5-1M Technical Report](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen2-5-1m-technical/) — An Yang, Bowen Yu, Chengyuan Li, et al. · 2025
- [Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-qwen3-embedding-advancing-text/) — Yanzhao Zhang, Mingxin Li, Dingkun Long, et al. · 2025
- [Qwen3 Technical Report](https://md.research.elamur.ai/free/en/papers/yang-2025-qwen3-technical-report/) — An Yang, Anfeng Li, Baosong Yang, et al. · 2025
- [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/) — Zhenru Zhang, Chujie Zheng, Yangzhen Wu, et al. · 2025
- [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/) — Guanting Dong, Hongyi Yuan, Keming Lu, et al. · 2024
- [Qwen2.5-Coder Technical Report](https://md.research.elamur.ai/free/en/papers/hui-2024-qwen2-5-coder-technical-report/) — Binyuan Hui, Jian Yang, Zeyu Cui, et al. · 2024
- [Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement](https://md.research.elamur.ai/free/en/papers/yang-2024-qwen2-5-math-technical-report/) — An Yang, Beichen Zhang, Binyuan Hui, et al. · 2024
- [UniTE: Unified Translation Evaluation](https://md.research.elamur.ai/free/en/papers/wan-2022-unite-unified-translation-evaluation/) — Yu Wan, Dayiheng Liu, Baosong Yang, et al. · 2022
- [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/) — Weizhen Qi, Yu Yan, Yeyun Gong, et al. · 2020