--- title: "Yichang Zhang — author profile and papers — Elamur Research" description: "Yichang Zhang, University of Science and Technology of China: 5 papers on Elamur Research (2024–2026), h-index 17 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/yichang-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yichang-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yichang Zhang # Yichang Zhang Yichang Zhang has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/), [Junyang Lin](https://md.research.elamur.ai/free/en/authors/junyang-lin/), [An Yang](https://md.research.elamur.ai/free/en/authors/an-yang/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5013763116) · [ORCID](https://orcid.org/0000-0001-5388-6376) · [**h-index 17**](https://openalex.org/authors/A5013763116) · [54 works](https://openalex.org/works?filter=author.id:A5013763116) · [1,324 citations](https://openalex.org/works?filter=author.id:A5013763116&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yichang-zhang/#papers) · [🔗 Cited 5,099 times in our library](https://md.research.elamur.ai/free/en/authors/yichang-zhang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7353](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7353) 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=Yichang+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yichang+Zhang) · [dblp](https://dblp.org/search?q=Yichang+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Yichang+Zhang) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2019–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Southwest Petroleum University** Chengdu · China 2023–2026 · 7 papers*current*](https://ror.org/03h17x602) · [🎓**University of Science and Technology of China** Hefei · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**China Agricultural University** Beijing · China 2026 · 1 paper*current*](https://ror.org/04v3ywz14) · [🎓**University of Copenhagen** Copenhagen · Denmark 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** George Town · Cayman Islands 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🎓**Hubei University of Chinese Medicine** Wuhan · China 2019–2024 · 3 papers](https://ror.org/02my3bx32) · [🎓**Qingdao Agricultural University** Qingdao · China 2022–2024 · 3 papers](https://ror.org/051qwcj72) · [🎓**Lanzhou City University** Lanzhou · China 2019 · 3 papers](https://ror.org/03cd4ja39) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yichang-zhang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yichang-zhang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yichang-zhang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Qwen3Guard Technical Report](https://md.research.elamur.ai/free/en/papers/zhao-2025-qwen3guard-technical-report/)** *(2025 · 33 citations)* Guardrail classifiers that screen LLM traffic usually produce only a binary safe/unsafe verdict, which different safety policies interpret differently. 2. **[Language Models can Self-Lengthen to Generate Long Texts](https://md.research.elamur.ai/free/en/papers/quan-2024-language-models-self-lengthen-generate/)** *(2024 · 13 citations)* Open models such as Qwen2 and LLaMA3 read long inputs well but rarely produce coherent answers longer than about 2,000 words. 3. **[Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-confidence-v-s-critique-decomposition/)** *(2025 · 11 citations)* Intrinsic self-correction means asking an LLM to re-check and revise its own answer without external feedback. 4. **[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/)** *(2026 · 9 citations)* Most reasoning benchmarks for LLMs test single-turn problems. Real problem solving is often interactive: a solver asks questions, gets feedback and revises its plan. Earlier multi-turn efforts such as MT-Bench and GameArena either focus on dialogue coherence or depend on costly human involvement. 5. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/)** *(2026 · 3 citations)* Generative reward models (GenRMs) and LLM-as-a-Judge systems are usually trained and evaluated only on whether they pick the preferred response. ## All works 6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them. 1. **[Towards Knowledge-Based Recommender Dialog System ↗](https://aclanthology.org/D19-1189/) 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**Qibin Chen et al.*2019 · 282 citations* 2. [**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/) 3. [**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/) 4. **[Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-confidence-v-s-critique-decomposition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhe Yang, Yichang Zhang, Yudong Wang, et al.*2025 · 11 citations* 5. **[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* 6. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binghai Wang, Yantao Liu, Yuxuan Liu, et al.*2026 · 3 citations* ## Co-authors here 12 of 30 co-authors with a page, the most papers together first. - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) ×3 - [Junyang Lin](https://md.research.elamur.ai/free/en/authors/junyang-lin/) ×3 - [An Yang](https://md.research.elamur.ai/free/en/authors/an-yang/) ×2 - [Bowen Yu](https://md.research.elamur.ai/free/en/authors/bowen-yu/) ×2 - [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) ×2 - [Tianyi Tang](https://md.research.elamur.ai/free/en/authors/tianyi-tang/) ×2 - [Baosong Yang](https://md.research.elamur.ai/free/en/authors/baosong-yang/) - [Binghai Wang](https://md.research.elamur.ai/free/en/authors/binghai-wang/) - [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/) - [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/) - [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ## Cited by Papers of our library cite their works 5,099 times (of the 149,439 papers whose bibliographies we read); [1,195 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yichang-zhang/cited-by/). Updated 1 November 2026