--- title: "Yijia Xiao — author profile and papers — Elamur Research" description: "Yijia Xiao, Google: 2 papers on Elamur Research (2023–2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yijia-xiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yijia-xiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yijia Xiao # Yijia Xiao Yijia Xiao has 2 papers in our library, in 2023–2024; often with [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/), [Jiahao Ying](https://md.research.elamur.ai/free/en/authors/jiahao-ying/), [Jifan Yu](https://md.research.elamur.ai/free/en/authors/jifan-yu/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5101382792) · [ORCID](https://orcid.org/0000-0003-2878-7610) · [**h-index 3**](https://openalex.org/authors/A5101382792) · [8 works](https://openalex.org/works?filter=author.id:A5101382792) · [44 citations](https://openalex.org/works?filter=author.id:A5101382792&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yijia-xiao/#papers) · [🔗 Cited 134 times in our library](https://md.research.elamur.ai/free/en/authors/yijia-xiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6554](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6554) 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=Yijia+Xiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yijia+Xiao) · [dblp](https://dblp.org/search?q=Yijia+Xiao) · [ACL Anthology](https://aclanthology.org/search/?q=Yijia+Xiao) ## Affiliations [🎓**University of California, Los Angeles** Los Angeles · United States 2024–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🏢**Google** Mountain View · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google/) 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 9 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Education · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/education/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yijia-xiao/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yijia-xiao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Benchmarking Foundation Models with Language-Model-as-an-Examiner](https://md.research.elamur.ai/free/en/papers/bai-2023-benchmarking-foundation-models-language-model/)** *(2023 · 106 citations)* Open-ended question answering benchmarks face two obstacles. Test items may already appear in pre-training data, which inflates scores. Free-form answers are also hard to grade automatically because no single reference covers every acceptable response. Bai et al. propose Language-Model-as-an-Examiner, in which a… 2. **[AgentReview: Exploring Peer Review Dynamics with LLM Agents](https://md.research.elamur.ai/free/en/papers/jin-2024-agentreview-exploring-peer-review/)** *(2024 · 86 citations)* Studying peer review empirically is hard. Outcomes depend on many interacting factors, some important ones such as reviewer bias or motivation are hidden, and real review records are confidential. AgentReview addresses these problems by simulating conference reviewing entirely with LLM agents playing reviewers… ## All works 3 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. **[Benchmarking Foundation Models with Language-Model-as-an-Examiner](https://md.research.elamur.ai/free/en/papers/bai-2023-benchmarking-foundation-models-language-model/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yushi Bai, Jiahao Ying, Yixin Cao, et al.*2023 · 106 citations* 2. **[AgentReview: Exploring Peer Review Dynamics with LLM Agents](https://md.research.elamur.ai/free/en/papers/jin-2024-agentreview-exploring-peer-review/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiqiao Jin, Qinlin Zhao, Yiyang Wang, et al.*2024 · 86 citations* 3. **[Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards ↗](https://arxiv.org/abs/2509.21882) arXiv (Cornell University) · no summary yet**Fang Wu et al.*2025 · 3 citations* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Hao Chen](https://md.research.elamur.ai/free/en/authors/hao-chen/) - [Jiahao Ying](https://md.research.elamur.ai/free/en/authors/jiahao-ying/) - [Jifan Yu](https://md.research.elamur.ai/free/en/authors/jifan-yu/) - [Jindong Wang](https://md.research.elamur.ai/free/en/authors/jindong-wang/) - [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/) - [Kaijie Zhu](https://md.research.elamur.ai/free/en/authors/kaijie-zhu/) - [Kaisheng Zeng](https://md.research.elamur.ai/free/en/authors/kaisheng-zeng/) - [Qinlin Zhao](https://md.research.elamur.ai/free/en/authors/qinlin-zhao/) - [Xiaozhi Wang](https://md.research.elamur.ai/free/en/authors/xiaozhi-wang/) - [Xin Lv](https://md.research.elamur.ai/free/en/authors/xin-lv/) - [Yiqiao Jin](https://md.research.elamur.ai/free/en/authors/yiqiao-jin/) - [Yixin Cao](https://md.research.elamur.ai/free/en/authors/yixin-cao/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) ## Cited by Papers of our library cite their works 134 times (of the 149,439 papers whose bibliographies we read); [45 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yijia-xiao/cited-by/). Updated 2 November 2026