--- title: "Yan Lu — author profile and papers — Elamur Research" description: "Yan Lu, Microsoft: 5 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yan-lu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yan-lu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yan Lu # Yan Lu Yan Lu has 5 papers in our library, in 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/); often with [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/), [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/), [Xiaoyi Zhang](https://md.research.elamur.ai/free/en/authors/xiaoyi-zhang/). 5 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139793146) · [**h-index 1**](https://openalex.org/authors/A5139793146) · [5 works](https://openalex.org/works?filter=author.id:A5139793146) · [1 citations](https://openalex.org/works?filter=author.id:A5139793146&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yan-lu/#papers) · [🔗 Cited 10 times in our library](https://md.research.elamur.ai/free/en/authors/yan-lu/cited-by/) · [⭐ Paper Stars ranking: #9735](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9735) 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=Yan+Lu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yan+Lu) · [dblp](https://dblp.org/search?q=Yan+Lu) · [ACL Anthology](https://aclanthology.org/search/?q=Yan+Lu) ## Affiliations [🏢**Microsoft** Redmond · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research Asia** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/yan-lu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-infiniteweb-scalable-web-environment-synthesis/)** *(2026 · 4 citations)* Reinforcement-learning training of GUI agents needs many interactive environments. Existing benchmarks such as WebArena or OSWorld are built by hand and cover only a limited number of applications. InfiniteWeb addresses this by automatically synthesizing complete multi-page websites together with tasks and… 2. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/)** *(2026 · 3 citations)* Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose… 3. **[Closing the Modality Reasoning Gap for Speech Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-closing-modality-reasoning-gap-speech/)** *(2026 · 2 citations)* Speech LLMs, which pair a speech encoder and adapter with a text LLM, reason noticeably worse on spoken questions than on the same questions in text. 4. **[CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-cspo-alleviating-reward-ambiguity-structured/)** *(2026 · 1 citation)* Turning images of tables into LaTeX code is useful for digitizing scientific documents. However, multimodal LLMs often get cell merges, line styles or cell values wrong, or produce code that does not compile. The authors argue that standard RL post-training (e.g., GRPO) scores the whole output with one reward. This… 5. **[From Off-Policy to On-Policy: Enhancing GUI Agents via Bi-level Expert-to-Policy Assimilation](https://md.research.elamur.ai/free/en/papers/wang-2026-off-policy-policy-enhancing-gui/)** *(2026 · 1 citation)* End-to-end GUI agents, which map screenshots directly to actions, are simpler to deploy than framework-based computer-use systems but score noticeably lower on OSWorld-Verified. ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/) ×2 - [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/) ×2 - [Xiaoyi Zhang](https://md.research.elamur.ai/free/en/authors/xiaoyi-zhang/) ×2 - [Zezhou Wang](https://md.research.elamur.ai/free/en/authors/zezhou-wang/) ×2 - [Ziyun Zhang](https://md.research.elamur.ai/free/en/authors/ziyun-zhang/) ×2 - [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/) - [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/) - [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/) - [Jiahao Li](https://md.research.elamur.ai/free/en/authors/jiahao-li/) - [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/) - [Jinghua Zhao](https://md.research.elamur.ai/free/en/authors/jinghua-zhao/) - [Jitao Sang](https://md.research.elamur.ai/free/en/authors/jitao-sang/) ## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×5 ## Cited by Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yan-lu/cited-by/). Updated 1 November 2026