--- title: "Jiantao Jiao — author profile and papers — Elamur Research" description: "Jiantao Jiao, UC San Diego Health System: 2 papers on Elamur Research (2024–2025), h-index 20 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jiantao-jiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiantao-jiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiantao Jiao # Jiantao Jiao Jiantao Jiao has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Anastasios N. Angelopoulos](https://md.research.elamur.ai/free/en/authors/anastasios-n-angelopoulos/), [Banghua Zhu](https://md.research.elamur.ai/free/en/authors/banghua-zhu/), [Evan Frick](https://md.research.elamur.ai/free/en/authors/evan-frick/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5034192173) · [ORCID](https://orcid.org/0000-0003-3766-8031) · [**h-index 20**](https://openalex.org/authors/A5034192173) · [127 works](https://openalex.org/works?filter=author.id:A5034192173) · [2,509 citations](https://openalex.org/works?filter=author.id:A5034192173&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/#papers) · [🔗 Cited 96 times in our library](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8528](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8528) 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=Jiantao+Jiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiantao+Jiao) · [dblp](https://dblp.org/search?q=Jiantao+Jiao) · [ACL Anthology](https://aclanthology.org/search/?q=Jiantao+Jiao) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2014–2026 · 67 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Nvidia** Santa Clara · United States 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏥**UC San Diego Health System** San Diego · United States 2026 · 1 paper*current*](https://ror.org/01kbfgm16) · [🎓**University of California San Diego** San Diego · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**Stanford University** Stanford · United States 2012–2023 · 34 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**Tsinghua University** Beijing · China 2010–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge](https://md.research.elamur.ai/free/en/papers/wu-2025-meta-rewarding-language-models-self/)** *(2025 · 64 citations)* Self-Rewarding training lets an LLM improve without human labels by scoring its own outputs. However, it trains only the model's answering skill. Its evaluation skill stays fixed, so gains plateau after a few iterations and the model risks reward hacking. The authors add a third role, a meta-judge, alongside the… 2. **[How to Evaluate Reward Models for RLHF](https://md.research.elamur.ai/free/en/papers/frick-2024-evaluate-reward-models-rlhf/)** *(2024 · 31 citations)* Reward models guide RLHF, but the only direct way to judge one is to train a policy with it and measure the result. ## All works 10 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. **[Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge](https://md.research.elamur.ai/free/en/papers/wu-2025-meta-rewarding-language-models-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.*2025 · 64 citations* 2. **[Generalized resilience and robust statistics ↗](https://doi.org/10.1214/22-aos2186) The Annals of Statistics · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2019 · 34 citations* 3. [**How to Evaluate Reward Models for RLHF arXiv:2410.14872**Evan Frick, Tianle Li, Connor Chen, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/frick-2024-evaluate-reward-models-rlhf/) 4. **[Robust estimation via generalized quasi-gradients ↗](https://doi.org/10.1093/imaiai/iaab018) Information and Inference A Journal of the IMA · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2021 · 22 citations* 5. **[Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures ↗](https://arxiv.org/abs/1811.08010) arXiv (Cornell University) · no summary yet**Hongyang Zhang et al.*2018 · 17 citations* 6. **[When does the Tukey Median work? ↗](https://doi.org/10.1109/isit44484.2020.9173995) IEEE International Symposium on Information Theory (ISIT) · no summary yet**Banghua Zhu, Jiantao Jiao, Jacob Steinhardt*2020 · 16 citations* 7. **[On Optimal Caching and Model Multiplexing for Large Model Inference ↗](https://arxiv.org/abs/2306.02003) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2023 · 5 citations* 8. **[Towards Optimal Caching and Model Selection for Large Model Inference ↗](https://doi.org/10.52202/075280-2577) neural information processing systems · no summary yet**Banghua Zhu et al.*2023 · 2 citations* 9. **[Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees ↗](https://arxiv.org/abs/2205.11765) arXiv (Cornell University) · no summary yet**Banghua Zhu et al.*2022 · 1 citation* 10. **[Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models ↗](https://arxiv.org/abs/2610.10478) arXiv (Cornell University) · no summary yet**Tan Yu et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Anastasios N. Angelopoulos](https://md.research.elamur.ai/free/en/authors/anastasios-n-angelopoulos/) - [Banghua Zhu](https://md.research.elamur.ai/free/en/authors/banghua-zhu/) - [Evan Frick](https://md.research.elamur.ai/free/en/authors/evan-frick/) - [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) - [Jason Weston](https://md.research.elamur.ai/free/en/authors/jason-weston/) - [Jing Xu](https://md.research.elamur.ai/free/en/authors/jing-xu/) - [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) - [Olga Golovneva](https://md.research.elamur.ai/free/en/authors/olga-golovneva/) - [Sainbayar Sukhbaatar](https://md.research.elamur.ai/free/en/authors/sainbayar-sukhbaatar/) - [Tianhao Wu](https://md.research.elamur.ai/free/en/authors/tianhao-wu/) - [Tianle Li](https://md.research.elamur.ai/free/en/authors/tianle-li/) - [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/) ## 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/) - IEEE International Symposium on Information Theory (ISIT) - Information and Inference A Journal of the IMA - The Annals of Statistics - neural information processing systems ## Cited by Papers of our library cite their works 96 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiantao-jiao/cited-by/). Updated 3 November 2026