--- title: "Lei Yu — author profile and papers — Elamur Research" description: "Lei Yu, Chinese Academy of Sciences: 5 papers on Elamur Research (2020–2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lei-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lei-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lei Yu # Lei Yu Lei Yu has 5 papers in our library, in 2020–2026, 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/); often with [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/), [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/), [Yihang Wang](https://md.research.elamur.ai/free/en/authors/yihang-wang/). 5 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5139807134) · [**h-index 0**](https://openalex.org/authors/A5139807134) · [5 works](https://openalex.org/works?filter=author.id:A5139807134) · [0 citations](https://openalex.org/works?filter=author.id:A5139807134&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/lei-yu/#papers) · [🔗 Cited 42 times in our library](https://md.research.elamur.ai/free/en/authors/lei-yu/cited-by/) · [⭐ Paper Stars ranking: #7042](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7042) 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=Lei+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lei+Yu) · [dblp](https://dblp.org/search?q=Lei+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Lei+Yu) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🏢**Jingdong** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/jingdong/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 2 Research subjects and languages the work is about.[Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/lei-yu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lei-yu/year/2025/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/lei-yu/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Better Document-Level Machine Translation with Bayes' Rule](https://md.research.elamur.ai/free/en/papers/yu-2020-better-document-level-machine-translation/)** *(2020 · 72 citations)* Translating whole documents requires cross-sentence context. For example, Chinese marks tense and number less explicitly than English, so the right English form often depends on other sentences. However, parallel documents for training are scarce. The authors address this by applying Bayes' rule, the classic noisy… 2. **[Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations](https://md.research.elamur.ai/free/en/papers/ji-2025-calibrating-verbal-uncertainty-as-linear/)** *(2025 · 11 citations)* Large language models often state wrong answers in a confident tone, which leads users to trust them too much. 3. **[Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs](https://md.research.elamur.ai/free/en/papers/yang-2026-sparse-brains-are-also-adaptive/)** *(2026 · 3 citations)* Dense LLMs spend the same compute on every token, however easy or hard it is. Existing dynamic-activation methods each have a weakness. DejaVu does not generalize beyond ReLU models, Threshold Truncation (TT) costs too much overhead to give real speedups, and Griffin loses noticeable accuracy. The authors propose… 4. **[Detoxification for LLM: From Dataset Itself](https://md.research.elamur.ai/free/en/papers/shao-2026-detoxification-llm-dataset-itself/)** *(2026)* Most LLM detoxification work acts late, through post-training or controlled decoding at inference time. That leaves the toxic knowledge absorbed from training data in place. This paper instead cleans the training corpus before any model learns from it. The authors propose HSPD (Hierarchical Semantic-Preserving… 5. **[Distilling Large Embeddings via Hyperspherical Householder Quantization](https://md.research.elamur.ai/free/en/papers/wang-2026-distilling-large-embeddings-hyperspherical-householder/)** *(2026)* Generative retrieval trains a sequence model to output a document identifier for a query, so no dense vector index is needed. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/) ×2 - [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×2 - [Yihang Wang](https://md.research.elamur.ai/free/en/authors/yihang-wang/) ×2 - [Alan Schelten](https://md.research.elamur.ai/free/en/authors/alan-schelten/) - [Anthony Hartshorn](https://md.research.elamur.ai/free/en/authors/anthony-hartshorn/) - [Cheng Zhang](https://md.research.elamur.ai/free/en/authors/cheng-zhang/) - [Chris Dyer](https://md.research.elamur.ai/free/en/authors/chris-dyer/) - [Chu-Ren Huang](https://md.research.elamur.ai/free/en/authors/chu-ren-huang/) - [Emmanuele Chersoni](https://md.research.elamur.ai/free/en/authors/emmanuele-chersoni/) - [Laurent Sartran](https://md.research.elamur.ai/free/en/authors/laurent-sartran/) - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) - [Nicola Cancedda](https://md.research.elamur.ai/free/en/authors/nicola-cancedda/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2020](https://md.research.elamur.ai/free/en/venues/tacl/2020/) ## Cited by Papers of our library cite their works 42 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lei-yu/cited-by/). Updated 1 November 2026