--- title: "Pinlong Zhao — author profile and papers — Elamur Research" description: "Pinlong Zhao, Hangzhou Dianzi University: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/pinlong-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pinlong-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pinlong Zhao # Pinlong Zhao Pinlong Zhao has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5036734523) · [ORCID](https://orcid.org/0000-0002-3161-5003) · [**h-index 5**](https://openalex.org/authors/A5036734523) · [24 works](https://openalex.org/works?filter=author.id:A5036734523) · [414 citations](https://openalex.org/works?filter=author.id:A5036734523&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/pinlong-zhao/#papers) · [⭐ Paper Stars ranking: #13843](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13843) 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=Pinlong+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pinlong+Zhao) · [dblp](https://dblp.org/search?q=Pinlong+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Pinlong+Zhao) ## Affiliations [🎓**Hangzhou Dianzi University** Hangzhou · China 2024–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/hangzhou-dianzi-university/) · [🎓**Zhejiang University** Hangzhou · China 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Tianjin University** Tianjin · China 2019–2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/pinlong-zhao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-b-apo-bias-targeted-adversarial/)** *(2026)* Multimodal LLMs often lean on one modality and ignore the other. Language bias means answering from textual priors instead of the image. Vision bias means describing salient visual content that does not address the question. Earlier preference-based debiasing, notably NaPO, builds negative examples by masking out a… 2. **[What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2026-what-tokens-truly-matter-logit/)** *(2026)* Standard LLM samplers such as top-k, top-p, min-p and top-nσ pick candidate tokens by logit size, assuming a high logit means a good choice. ## 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 Updated 2 November 2026