--- title: "Yifan Mai · Stanford University — author profile and papers" description: "Yifan Mai, Stanford University: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yifan-mai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifan-mai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yifan Mai # Yifan Mai Yifan Mai has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Ariel Gera](https://md.research.elamur.ai/free/en/authors/ariel-gera/), [Asaf Yehudai](https://md.research.elamur.ai/free/en/authors/asaf-yehudai/), [Daniel Dahlmeier](https://md.research.elamur.ai/free/en/authors/daniel-dahlmeier/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5006623234) · [ORCID](https://orcid.org/0000-0002-4807-037X) · [Wikidata](https://www.wikidata.org/wiki/Q141203749) · [**h-index 5**](https://openalex.org/authors/A5006623234) · [24 works](https://openalex.org/works?filter=author.id:A5006623234) · [179 citations](https://openalex.org/works?filter=author.id:A5006623234&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yifan-mai/#papers) · [🔗 Cited 990 times in our library](https://md.research.elamur.ai/free/en/authors/yifan-mai/cited-by/) · [11 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11315](https://md.research.elamur.ai/free/en/paper-stars/page/114/#star-11315) 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=Yifan+Mai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yifan+Mai) · [dblp](https://dblp.org/search?q=Yifan+Mai) · [ACL Anthology](https://aclanthology.org/search/?q=Yifan+Mai) ## Affiliations [🎓**Stanford University** Stanford · United States 2024–2026 · 3 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**South China Normal University** Guangzhou · China 2017Education since 2017](https://md.research.elamur.ai/free/en/universities/south-china-normal-university/) 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) 🧭 Topics 4 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [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** 2 papers](https://md.research.elamur.ai/free/en/authors/yifan-mai/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets](https://md.research.elamur.ai/free/en/papers/shen-2026-ocr-or-not-rethinking-document/)** *(2026 · 1 citation)* Industrial document extraction systems usually run OCR first and then pass the recognized text to a separate extraction model. These pipelines are complex and carry OCR mistakes forward into extraction. The authors, from SAP and Stanford, ask whether modern multimodal LLMs can skip OCR entirely. 2. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMs](https://md.research.elamur.ai/free/en/papers/tahan-2026-mighty-torr-benchmark-table-reasoning/)** *(2026 · 1 citation)* Large language models are often given tables, yet it is unclear how well they reason over them and how much their answers depend on how a table is written out. ## All works 13 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations* 2. **[VHELM: A Holistic Evaluation of Vision Language Models ↗](https://doi.org/10.52202/079017-4464) neural information processing systems · no summary yet**Tong Lee et al.*2024 · 34 citations* 3. **[AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies ↗](https://doi.org/10.70777/si.v1i1.10863) SuperIntelligence - Robotics - Safety & Alignment · no summary yet**Yi Zeng et al.*2024 · 23 citations* 4. **[MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks ↗](https://arxiv.org/abs/2505.23802) arXiv (Cornell University) · no summary yet**Suhana Bedi et al.*2025 · 22 citations* 5. **[Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗](https://arxiv.org/abs/2510.11977) arXiv:2510.11977 · no summary yet**Sayash Kapoor et al.*2025 · 11 citations* 6. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness ↗](https://arxiv.org/abs/2502.19412) arXiv (Cornell University) · no summary yet**Shir Ashury-Tahan et al.*2025 · 10 citations* 7. **[Language model developers should report train-test overlap ↗](https://arxiv.org/abs/2410.08385) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2024 · 8 citations* 8. **[AHELM: A Holistic Evaluation of Audio-Language Models ↗](https://arxiv.org/abs/2508.21376) arXiv (Cornell University) · no summary yet**Tong Lee et al.*2025 · 7 citations* 9. **[Image2Struct: Benchmarking Structure Extraction for Vision-Language Models ↗](https://doi.org/10.52202/079017-3653) neural information processing systems · no summary yet**Josselin Somerville Roberts et al.*2024 · 7 citations* 10. **[OCR or Not? Rethinking Document Information Extraction in the MLLMs Era with Real-World Large-Scale Datasets](https://md.research.elamur.ai/free/en/papers/shen-2026-ocr-or-not-rethinking-document/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jiyuan Shen, Yuan Peiyue, Atin Ghosh, et al.*2026 · 1 citation* 11. **[The Mighty ToRR: A Benchmark for Table Reasoning and Robustness in LLMs](https://md.research.elamur.ai/free/en/papers/tahan-2026-mighty-torr-benchmark-table-reasoning/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Shir Ashury-Tahan, Yifan Mai, Rajmohan C, et al.*2026 · 1 citation* 12. **[DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots ↗](https://arxiv.org/abs/2608.05004) arXiv (Cornell University) · no summary yet**Jared Moore et al.*2026* 13. **[Structured Prompts Improve Evaluation of Language Models ↗](https://arxiv.org/abs/2511.20836) arXiv (Cornell University) · no summary yet**Asad Aali et al.*2025* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Ariel Gera](https://md.research.elamur.ai/free/en/authors/ariel-gera/) - [Asaf Yehudai](https://md.research.elamur.ai/free/en/authors/asaf-yehudai/) - [Daniel Dahlmeier](https://md.research.elamur.ai/free/en/authors/daniel-dahlmeier/) - [Elron Bandel](https://md.research.elamur.ai/free/en/authors/elron-bandel/) - [Leshem Choshen](https://md.research.elamur.ai/free/en/authors/leshem-choshen/) - [Michal Shmueli-Scheuer](https://md.research.elamur.ai/free/en/authors/michal-shmueli-scheuer/) - [Percy Liang](https://md.research.elamur.ai/free/en/authors/percy-liang/) - [Yotam Perlitz](https://md.research.elamur.ai/free/en/authors/yotam-perlitz/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - neural information processing systems ×2 - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/): [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026](https://md.research.elamur.ai/free/en/venues/surgellm/2026/) - SuperIntelligence - Robotics - Safety & Alignment ## Cited by Papers of our library cite their works 990 times (of the 149,439 papers whose bibliographies we read); [246 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yifan-mai/cited-by/). Updated 31 October 2026