--- title: "Lingjiao Chen — author profile and papers — Elamur Research" description: "Lingjiao Chen: 3 papers on Elamur Research (2023–2025), h-index 14 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/lingjiao-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lingjiao-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lingjiao Chen # Lingjiao Chen Lingjiao Chen has 3 papers in our library, in 2023–2025, 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 [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/), [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/), [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5003134390) · [ORCID](https://orcid.org/0009-0001-4473-7544) · [**h-index 14**](https://openalex.org/authors/A5003134390) · [54 works](https://openalex.org/works?filter=author.id:A5003134390) · [1,255 citations](https://openalex.org/works?filter=author.id:A5003134390&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/#papers) · [🔗 Cited 380 times in our library](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4680](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4680) 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=Lingjiao+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lingjiao+Chen) · [dblp](https://dblp.org/search?q=Lingjiao+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Lingjiao+Chen) ## Affiliations [🎓**Stanford University** Stanford · United States 2021–2026 · 14 papersEmployment · Computer Sciences](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of Wisconsin–Madison** Madison · United States 2017–2019 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2014–2018 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🏢**Microsoft** Redmond · United States 2024–2026 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) 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 8 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Computer Vision and Pattern Recognition · 1 work](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.[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 [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/)** *(2023 · 241 citations)* Commercial LLM APIs differ widely in price and quality, and running the strongest model on every query quickly becomes costly for high-volume uses such as customer support. 2. **[Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/)** *(2024 · 119 citations)* Detecting LLM-written text one document at a time is unreliable, and humans perform barely better than chance at it. 3. **[Phi-4-reasoning Technical Report](https://md.research.elamur.ai/free/en/papers/abdin-2025-phi-4-reasoning-technical-report/)** *(2025 · 64 citations)* The report asks whether a compact model can match much larger systems on hard multi-step reasoning. Microsoft researchers fine-tuned the 14B-parameter Phi-4 on more than 1.4M prompts paired with long reasoning traces written by o3-mini. The result is Phi-4-reasoning. The prompts were chosen to be "teachable": varied… ## All works 9 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. [**FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance arXiv:2305.05176**Lingjiao Chen, Matei Zaharia, James Zou*2023 · 241 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-frugalgpt-use-large-language-models/) 2. [**Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews arXiv:2403.07183**Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-monitoring-ai-modified-content/) 3. [**Phi-4-reasoning Technical Report arXiv:2504.21318**Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/abdin-2025-phi-4-reasoning-technical-report/) 4. **[Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems ↗](https://arxiv.org/abs/2403.02419) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2024 · 46 citations* 5. **[Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems ↗](https://doi.org/10.52202/079017-1455) neural information processing systems · no summary yet**Lingjiao Chen et al.*2024 · 27 citations* 6. **[Optimizing Model Selection for Compound AI Systems ↗](https://arxiv.org/abs/2502.14815) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2025 · 9 citations* 7. **[BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation ↗](https://arxiv.org/abs/2502.01697) arXiv (Cornell University) · no summary yet**Zhu, Alan et al.*2025 · 6 citations* 8. **[Specifications: The missing link to making the development of LLM systems an engineering discipline ↗](https://arxiv.org/abs/2412.05299) arXiv (Cornell University) · no summary yet**Ion Gabriel Stoica et al.*2024 · 4 citations* 9. **[The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More ↗](https://arxiv.org/abs/2603.23971) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2026 · 1 citation* ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/) ×2 - [Ahmed Hassan Awadallah](https://md.research.elamur.ai/free/en/authors/ahmed-hassan-awadallah/) - [Daniel A. McFarland](https://md.research.elamur.ai/free/en/authors/daniel-a-mcfarland/) - [Haley Lepp](https://md.research.elamur.ai/free/en/authors/haley-lepp/) - [Hancheng Cao](https://md.research.elamur.ai/free/en/authors/hancheng-cao/) - [Haotian Ye](https://md.research.elamur.ai/free/en/authors/haotian-ye/) - [Harkirat Behl](https://md.research.elamur.ai/free/en/authors/harkirat-behl/) - [Marah Abdin](https://md.research.elamur.ai/free/en/authors/marah-abdin/) - [Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/) - [Mojan Javaheripi](https://md.research.elamur.ai/free/en/authors/mojan-javaheripi/) - [Piero Kauffmann](https://md.research.elamur.ai/free/en/authors/piero-kauffmann/) - [Sahaj Agarwal](https://md.research.elamur.ai/free/en/authors/sahaj-agarwal/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - neural information processing systems ## Cited by Papers of our library cite their works 380 times (of the 149,439 papers whose bibliographies we read); [96 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lingjiao-chen/cited-by/). Updated 2 November 2026