--- title: "Yunjia Qi · University of Oxford — author profile and papers" description: "Yunjia Qi, University of Oxford: 5 papers on Elamur Research (2023–2026), h-index 4 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yunjia-qi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yunjia-qi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yunjia Qi # Yunjia Qi Yunjia Qi has 5 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/), [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/), [Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5113281911) · [ORCID](https://orcid.org/0009-0009-1836-8413) · [**h-index 4**](https://openalex.org/authors/A5113281911) · [18 works](https://openalex.org/works?filter=author.id:A5113281911) · [62 citations](https://openalex.org/works?filter=author.id:A5113281911&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yunjia-qi/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/yunjia-qi/cited-by/) · [⭐ Paper Stars ranking: #7074](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7074) 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=Yunjia+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunjia+Qi) · [dblp](https://dblp.org/search?q=Yunjia+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Yunjia+Qi) ## Affiliations [🎓**Tsinghua University** Beijing · China 2023–2026 · 10 papersEmployment since 2023*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Oxford** Oxford · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🏥**Peking University Third Hospital** Beijing · China 2026 · 1 paper*current*](https://ror.org/04wwqze12) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🎓**Xi’an Jiaotong-Liverpool University** Suzhou · China 2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-liverpool-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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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 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 [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yunjia-qi/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yunjia-qi/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yunjia-qi/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yunjia-qi/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks](https://md.research.elamur.ai/free/en/papers/peng-2023-context-learning-fall-short-why/)** *(2023 · 42 citations)* Large language models are mostly used through in-context learning (ICL), but its limits are poorly mapped. 2. **[Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems](https://md.research.elamur.ai/free/en/papers/peng-2025-agentic-reward-modeling-integrating-human/)** *(2025 · 18 citations)* Reward models for LLMs are usually trained only on human preferences. They can favour superficial traits such as longer or more polished answers and miss factual mistakes or ignored constraints. The authors propose agentic reward modeling, in which the final reward is a weighted combination of a base preference score… 3. **[VerIF: Verification Engineering for Reinforcement Learning in Instruction Following](https://md.research.elamur.ai/free/en/papers/peng-2025-verif-verification-engineering-reinforcement-learning/)** *(2025 · 18 citations)* Reinforcement learning with verifiable rewards (RLVR) works well in math and code, but how to verify instruction following has received little study. 4. **[MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://md.research.elamur.ai/free/en/papers/li-2024-maven-fact-large-scale-event/)** *(2024 · 6 citations)* Event Factuality Detection (EFD) asks whether a mentioned event actually happened, might happen, or did not happen. 5. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/)** *(2026)* Reward models for LLM training usually depend on large sets of human-annotated preference pairs, which are expensive to collect. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/) ×5 - [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/) ×5 - [Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/) ×5 - [Xiaozhi Wang](https://md.research.elamur.ai/free/en/authors/xiaozhi-wang/) ×5 - [Bin Xu](https://md.research.elamur.ai/free/en/authors/bin-xu/) ×4 - [Zijun Yao](https://md.research.elamur.ai/free/en/authors/zijun-yao/) ×2 - [Chunyang Li](https://md.research.elamur.ai/free/en/authors/chunyang-li/) - [Zimu Wang](https://md.research.elamur.ai/free/en/authors/zimu-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 74 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/yunjia-qi/cited-by/). Updated 1 November 2026