--- title: "Jinghui Lu — author profile and papers — Elamur Research" description: "Jinghui Lu, ByteDance: 3 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jinghui-lu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinghui-lu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinghui Lu # Jinghui Lu Jinghui Lu has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/), [Jingqun Tang](https://md.research.elamur.ai/free/en/authors/jingqun-tang/), [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5050212540) · [ORCID](https://orcid.org/0000-0001-7149-6961) · [**h-index 9**](https://openalex.org/authors/A5050212540) · [48 works](https://openalex.org/works?filter=author.id:A5050212540) · [202 citations](https://openalex.org/works?filter=author.id:A5050212540&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jinghui-lu/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/jinghui-lu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6924](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6924) 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=Jinghui+Lu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinghui+Lu) · [dblp](https://dblp.org/search?q=Jinghui+Lu) · [ACL Anthology](https://aclanthology.org/search/?q=Jinghui+Lu) ## Affiliations [🏢**ByteDance** Beijing · China 2023–2026 · 9 papersEmployment 2023–2025 · AI Research Scientist, AML*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🎓**PLA Rocket Force University of Engineering** Xi'an · China 2009–2012 · 5 papers](https://ror.org/00gg5zj35) · [🎓**University of Science and Technology of China** Hefei · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**University College Dublin** Dublin · Ireland 2016–2022 · 4 papersEducation 2016–2021 · Ph.D, School of Computer ScienceEmployment 2021–2022 · PostDoc, School of Computer Science](https://md.research.elamur.ai/free/en/universities/university-college-dublin/) · [🔬**National Synchrotron Radiation Laboratory** Hefei · China 2023–2025 · 3 papers](https://ror.org/03rx2tr07) · [🔬**Insight SFI Research Centre for Data Analytics** Dublin · Ireland 2019–2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/insight-sfi-research-centre-for-data-analytics/) · [🏢**Sensetime** Beijing · China 2022–2023 · 1 paperEmployment 2022–2023 · AI Research Scientist, SCG](https://md.research.elamur.ai/free/en/companies/sensetime/) · [🏢**Xiaomi** Beijing · China 2025Employment since 2025 · Senior Staff Research Scientist](https://md.research.elamur.ai/free/en/companies/xiaomi/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 · 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/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jinghui-lu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jinghui-lu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xuan-2025-mmlu-prox-multilingual-benchmark-advanced/)** *(2025 · 75 citations)* Evaluating LLMs across languages has two gaps. Demanding reasoning benchmarks such as MMLU-Pro exist mainly in English. Multilingual suites like Global-MMLU combine translation sources of uneven quality and pose easier questions. The authors address both with MMLU-ProX, which carries the ten-option, reasoning-heavy… 2. **[Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning](https://md.research.elamur.ai/free/en/papers/lu-2025-prolonged-reasoning-all-need-certainty/)** *(2025 · 11 citations)* Reasoning-tuned LLMs and MLLMs tend to produce long chain-of-thought output for every query. This costs many tokens and can even hurt accuracy on easy, fact-based questions. A pilot with Qwen2.5-0.5B on text-rich VQA and KIE data showed that direct answers were both more accurate and far cheaper than reasoning-based… 3. **[Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/)** *(2026 · 7 citations)* Large-scale scanning of historical Chinese books has produced many page images, but scanning alone does not make their content searchable or understandable. ## All works 4 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. **[MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation](https://md.research.elamur.ai/free/en/papers/xuan-2025-mmlu-prox-multilingual-benchmark-advanced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weihao Xuan, Rui Yang, Heli Qi, et al.*2025 · 75 citations* 2. [**Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning arXiv:2505.15154**Jinghui Lu, Haiyang Yu, Siliang Xu, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/lu-2025-prolonged-reasoning-all-need-certainty/) 3. **[Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Yu, Yuchuan Wu, Fan Shi, et al.*2026 · 7 citations* 4. **[ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training ↗](https://aclanthology.org/2026.findings-acl.776/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yifan Yang et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/) ×2 - [Jingqun Tang](https://md.research.elamur.ai/free/en/authors/jingqun-tang/) ×2 - [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/) - [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/) - [Fan Gao](https://md.research.elamur.ai/free/en/authors/fan-gao/) - [Han Wang](https://md.research.elamur.ai/free/en/authors/han-wang/) - [Hao Feng](https://md.research.elamur.ai/free/en/authors/hao-feng/) - [Heli Qi](https://md.research.elamur.ai/free/en/authors/heli-qi/) - [Junjue Wang](https://md.research.elamur.ai/free/en/authors/junjue-wang/) - [Qingcheng Zeng](https://md.research.elamur.ai/free/en/authors/qingcheng-zeng/) - [Rui Yang](https://md.research.elamur.ai/free/en/authors/rui-yang/) - [Siliang Xu](https://md.research.elamur.ai/free/en/authors/siliang-xu/) ## 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/): [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/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jinghui-lu/cited-by/). Updated 31 October 2026