--- title: "Yancheng He — author profile and papers — Elamur Research" description: "Yancheng He, Harbin Institute of Technology: 2 papers on Elamur Research (2024–2025), h-index 12 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/yancheng-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yancheng-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yancheng He # Yancheng He Yancheng He has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5103325403) · [ORCID](https://orcid.org/0009-0003-5078-0447) · [**h-index 12**](https://openalex.org/authors/A5103325403) · [55 works](https://openalex.org/works?filter=author.id:A5103325403) · [535 citations](https://openalex.org/works?filter=author.id:A5103325403&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yancheng-he/#papers) · [🔗 Cited 240 times in our library](https://md.research.elamur.ai/free/en/authors/yancheng-he/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4501](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4501) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yancheng+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yancheng+He) · [dblp](https://dblp.org/search?q=Yancheng+He) · [ACL Anthology](https://aclanthology.org/search/?q=Yancheng+He) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2024–2025 · 7 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Harbin Institute of Technology** Harbin · China 2010–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Guangxi Normal University** Guilin · China 2011–2025 · 2 papers*current*](https://ror.org/02frt9q65) · [🏢**Tencent** Shenzhen · China 2019–2024 · 19 papers](https://md.research.elamur.ai/free/en/companies/tencent/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2025** 1 paper A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) · [**2024** 1 paper MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/) ## Papers The most cited first (OpenAlex and our library). 1. **[MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/)** *(2024 · 171 citations)* Existing LLM benchmarks mostly test single-turn instructions. Multi-turn ones such as MT-Bench cover only two turns and broad skill categories, so they miss much of what happens in real chatbot conversations. MT-Bench-101 fills this gap with a fine-grained multi-turn benchmark. The authors studied real user–chatbot… 2. **[A Comprehensive Survey on Long Context Language Modeling](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)** *(2025 · 64 citations)* Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common. ## All works 7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/bai-2024-mt-bench-101-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ge Bai, Jie Liu, Xingyuan Bu, et al.*2024 · 171 citations* 2. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/) 3. **[Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models](https://arxiv.org/abs/2411.07140) arXiv:2411.07140 · original ↗ · no summary yet**Yancheng He et al.*2024 · 34 citations* 4. **[Align Voting Behavior with Public Statements for Legislator Representation Learning](https://aclanthology.org/2021.acl-long.99/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · original ↗ · no summary yet**Xinyi Mou et al.*2021 · 25 citations* 5. **[Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning](https://arxiv.org/abs/2508.08221) arXiv:2508.08221 · original ↗ · no summary yet**Zihe Liu et al.*2025 · 15 citations* 6. **[MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training](https://aclanthology.org/2025.acl-long.523/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Hui Huang et al.*2025 · 4 citations* 7. **[Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models](https://arxiv.org/abs/2412.15265) arXiv:2412.15265 · original ↗ · no summary yet**Yingshui Tan et al.*2024 · 4 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×2 - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) - [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Haoran Que](https://md.research.elamur.ai/free/en/authors/haoran-que/) - [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/) - [Wanli Ouyang](https://md.research.elamur.ai/free/en/authors/wanli-ouyang/) - [Yuanxing Zhang](https://md.research.elamur.ai/free/en/authors/yuanxing-zhang/) - [Zekun Wang](https://md.research.elamur.ai/free/en/authors/zekun-wang/) - [Zhuo Chen](https://md.research.elamur.ai/free/en/authors/zhuo-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) ## Cited by Papers of our library cite their works 240 times (of the 141,840 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yancheng-he/cited-by/). Updated 24 October 2026