--- title: "Zhichao Xu · University of Utah — author profile and papers" description: "Zhichao Xu, University of Utah: 5 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/zhichao-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhichao-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhichao Xu # Zhichao Xu Zhichao Xu has 5 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Kiran Ramnath](https://md.research.elamur.ai/free/en/authors/kiran-ramnath/), [Lin Lee Cheong](https://md.research.elamur.ai/free/en/authors/lin-lee-cheong/), [Yun Zhou](https://md.research.elamur.ai/free/en/authors/yun-zhou/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139799273) · [**h-index 1**](https://openalex.org/authors/A5139799273) · [2 works](https://openalex.org/works?filter=author.id:A5139799273) · [1 citations](https://openalex.org/works?filter=author.id:A5139799273&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/zhichao-xu/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/zhichao-xu/cited-by/) · [⭐ Paper Stars ranking: #8435](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8435) 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=Zhichao+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhichao+Xu) · [dblp](https://dblp.org/search?q=Zhichao+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Zhichao+Xu) ## Affiliations [🎓**University of Utah** Salt Lake City · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-utah/) 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).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [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/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/zhichao-xu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichao-xu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/chang-2025-main-rag-multi-agent-filtering/)** *(2025 · 65 citations)* Retrieval-augmented generation can be undermined by retrieved passages that are off-topic or misleading. Such passages lower answer quality and add inference cost. MAIN-RAG is a post-retrieval filtering framework that needs no training or fine-tuning and runs on top of a standard retriever. It uses three LLM agents: 2. **[Reinforcement Learning for Self-Improving Agent with Skill Library](https://md.research.elamur.ai/free/en/papers/wang-2026-reinforcement-learning-self-improving-agent/)** *(2026 · 8 citations)* Agents built on LLMs and trained with RL often stay tied to their training scenarios. They struggle to turn experience gathered after deployment into better performance on later tasks. Skill libraries, where agents store reusable routines, can help, but current versions rely on hand-written prompts and so depend on… 3. **[Learning to Ideate for Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-learning-ideate-machine-learning-engineering/)** *(2026 · 2 citations)* Agents for machine learning engineering (MLE) often stop once they have one working solution and do not keep refining it. 4. **[BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-bayesflow-probability-inference-framework-meta/)** *(2026)* This paper addresses automatic agentic workflow generation: composing LLM calls, tool use and post-processing into executable pipelines without manual design. 5. **[Teaching People LLM's Errors and Getting it Right](https://md.research.elamur.ai/free/en/papers/stringham-2026-teaching-people-llm-s-errors/)** *(2026)* Users often trust LLMs on tasks the models handle poorly. An earlier approach, the AI-integration teaching pipeline of Mozannar et al. (2023), tried to fix this. It finds regions where a model tends to fail, describes them in natural language and teaches users to avoid the model there. However, it gave no gains for… ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Kiran Ramnath](https://md.research.elamur.ai/free/en/authors/kiran-ramnath/) ×2 - [Lin Lee Cheong](https://md.research.elamur.ai/free/en/authors/lin-lee-cheong/) ×2 - [Yun Zhou](https://md.research.elamur.ai/free/en/authors/yun-zhou/) ×2 - [Ana Marasovic](https://md.research.elamur.ai/free/en/authors/ana-marasovic/) - [Aosong Feng](https://md.research.elamur.ai/free/en/authors/aosong-feng/) - [Bo Yuan](https://md.research.elamur.ai/free/en/authors/bo-yuan/) - [Chia-Yuan Chang](https://md.research.elamur.ai/free/en/authors/chia-yuan-chang/) - [Chin-Chia Michael Yeh](https://md.research.elamur.ai/free/en/authors/chin-chia-michael-yeh/) - [Fateme Hashemi Chaleshtori](https://md.research.elamur.ai/free/en/authors/fateme-hashemi-chaleshtori/) - [Guanchu Wang](https://md.research.elamur.ai/free/en/authors/guanchu-wang/) - [Kang Zhou](https://md.research.elamur.ai/free/en/authors/kang-zhou/) - [Mahashweta Das](https://md.research.elamur.ai/free/en/authors/mahashweta-das/) ## 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 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/): [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/) ## Cited by Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhichao-xu/cited-by/). Updated 2 November 2026