--- title: "Zheng Qi — author profile and papers — Elamur Research" description: "Zheng Qi, Amazon: 3 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zheng-qi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zheng-qi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zheng Qi # Zheng Qi Zheng Qi has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Nikolaos Pappas](https://md.research.elamur.ai/free/en/authors/nikolaos-pappas/), [Srikanth Doss](https://md.research.elamur.ai/free/en/authors/srikanth-doss/), [Evangelia Spiliopoulou](https://md.research.elamur.ai/free/en/authors/evangelia-spiliopoulou/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139734319) · [**h-index 1**](https://openalex.org/authors/A5139734319) · [2 works](https://openalex.org/works?filter=author.id:A5139734319) · [1 citations](https://openalex.org/works?filter=author.id:A5139734319&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zheng-qi/#papers) · [⭐ Paper Stars ranking: #12816](https://md.research.elamur.ai/free/en/paper-stars/page/129/#star-12816) 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=Zheng+Qi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheng+Qi) · [dblp](https://dblp.org/search?q=Zheng+Qi) · [ACL Anthology](https://aclanthology.org/search/?q=Zheng+Qi) ## Affiliations [🏢**Amazon** Seattle · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/amazon/) 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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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** 3 papers](https://md.research.elamur.ai/free/en/authors/zheng-qi/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MEAV: Model Editing with Alignment Vectors for inference time LLM alignment in single and multidomain preference spectrum](https://md.research.elamur.ai/free/en/papers/shahriar-2026-meav-model-editing-alignment-vectors/)** *(2026 · 1 citation)* The paper addresses the cost of adjusting LLM alignment after training. Methods like RLHF or DPO need retraining for every new preference setting, and many inference-time alternatives rely on a reward model at each step. The authors propose MEAV, which treats alignment as model editing in the spirit of Task… 2. **[Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yaldiz-2026-balancing-classification-calibration-performance-decision/)** *(2026)* LLMs used for decisions such as content moderation or clinical support need confidence scores that tell downstream systems when to fall back to a larger model or a human. 3. **[Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking](https://md.research.elamur.ai/free/en/papers/uppaal-2026-journey-before-destination-importance-visual/)** *(2026)* Reasoning-trained vision–language models (VLMs) write out long chains of thought. Benchmarks usually check only whether the final answer is right. The authors show this misses a separate failure mode. A model can reach a correct answer while describing things that are not in the image, or it can read the image… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Nikolaos Pappas](https://md.research.elamur.ai/free/en/authors/nikolaos-pappas/) ×3 - [Srikanth Doss](https://md.research.elamur.ai/free/en/authors/srikanth-doss/) ×2 - [Evangelia Spiliopoulou](https://md.research.elamur.ai/free/en/authors/evangelia-spiliopoulou/) - [Manuel Mager](https://md.research.elamur.ai/free/en/authors/manuel-mager/) - [Monica Sunkara](https://md.research.elamur.ai/free/en/authors/monica-sunkara/) - [Phu Mon Htut](https://md.research.elamur.ai/free/en/authors/phu-mon-htut/) - [Sandesh Swamy](https://md.research.elamur.ai/free/en/authors/sandesh-swamy/) - [Siddharth Varia](https://md.research.elamur.ai/free/en/authors/siddharth-varia/) - [Yassine Benajiba](https://md.research.elamur.ai/free/en/authors/yassine-benajiba/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×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/) Updated 2 November 2026