--- title: "Jiali Zeng · Sun Yat-sen University — author profile and papers" description: "Jiali Zeng, Sun Yat-sen University: 3 papers on Elamur Research (2025–2026), h-index 12 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jiali-zeng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiali-zeng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiali Zeng # Jiali Zeng Jiali Zeng has 3 papers in our library, in 2025–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Fandong Meng](https://md.research.elamur.ai/free/en/authors/fandong-meng/), [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/), [Chenglong Wang](https://md.research.elamur.ai/free/en/authors/chenglong-wang/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5112495273) · [**h-index 12**](https://openalex.org/authors/A5112495273) · [44 works](https://openalex.org/works?filter=author.id:A5112495273) · [506 citations](https://openalex.org/works?filter=author.id:A5112495273&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiali-zeng/#papers) · [🔗 Cited 94 times in our library](https://md.research.elamur.ai/free/en/authors/jiali-zeng/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8990](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8990) 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=Jiali+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiali+Zeng) · [dblp](https://dblp.org/search?q=Jiali+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Jiali+Zeng) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🔬**Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)** Zhuhai · China 2026 · 1 paper*current*](https://ror.org/03swgqh13) · [🔬**State Key Laboratory of Environmental Adaptability for Industrial Products** Guangzhou 2026 · 1 paper*current*](https://ror.org/03fxr9g07) · [🏢**Tencent** Shenzhen · China 2021–2025 · 29 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Xiamen University** Xiamen · China 2018–2023 · 10 papers](https://md.research.elamur.ai/free/en/universities/xiamen-university/) 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. ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiali-zeng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiali-zeng/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/qiao-2025-concise-confidence-guided-compression-step/)** *(2025 · 19 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1 tend to produce very long chains of thought, which raises inference cost. 2. **[Cross-layer Attention Sharing for Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/mu-2026-cross-layer-attention-sharing-pre/)** *(2026 · 2 citations)* Earlier work on making LLM attention more efficient mostly targets redundancy inside a layer, for example by compressing the KV cache or grouping heads. 3. **[FeedTrans: Enhance Machine Translation via Feedback](https://md.research.elamur.ai/free/en/papers/sun-2026-feedtrans-enhance-machine-translation-feedback/)** *(2026)* Reinforcement learning (RL) for machine translation usually rewards a model only for what it can already produce. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination ↗](https://aclanthology.org/D18-1041/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiali Zeng et al.*2018 · 103 citations* 2. **[DeepRAG: Thinking to Retrieve Step by Step for Large Language Models ↗](https://arxiv.org/abs/2502.01142) arXiv:2502.01142 · no summary yet**Xinyan Guan et al.*2025 · 40 citations* 3. **[ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/qiao-2025-concise-confidence-guided-compression-step/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.*2025 · 19 citations* 4. **[Cross-layer Attention Sharing for Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/mu-2026-cross-layer-attention-sharing-pre/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.*2026 · 2 citations* 5. **[FeedTrans: Enhance Machine Translation via Feedback](https://md.research.elamur.ai/free/en/papers/sun-2026-feedtrans-enhance-machine-translation-feedback/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.*2026* 6. **[Joint Optimization of Training Data and Policy in RLHF ↗](https://aclanthology.org/2026.findings-acl.2109/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Zhuohao Yu et al.*2026* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Fandong Meng](https://md.research.elamur.ai/free/en/authors/fandong-meng/) ×3 - [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/) ×3 - [Chenglong Wang](https://md.research.elamur.ai/free/en/authors/chenglong-wang/) - [Dong Wang](https://md.research.elamur.ai/free/en/authors/dong-wang/) - [Jiaan Wang](https://md.research.elamur.ai/free/en/authors/jiaan-wang/) - [Jinan Xu](https://md.research.elamur.ai/free/en/authors/jinan-xu/) - [Jingbo Zhu](https://md.research.elamur.ai/free/en/authors/jingbo-zhu/) - [Ju Ren](https://md.research.elamur.ai/free/en/authors/ju-ren/) - [Lai Wei](https://md.research.elamur.ai/free/en/authors/lai-wei/) - [Murun Yang](https://md.research.elamur.ai/free/en/authors/murun-yang/) - [Qiaozhi He](https://md.research.elamur.ai/free/en/authors/qiaozhi-he/) - [Tong Xiao](https://md.research.elamur.ai/free/en/authors/tong-xiao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/) ×2: [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/) ×2 - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 94 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiali-zeng/cited-by/). Updated 1 November 2026