---
title: "King Zhu — author profile and papers — Elamur Research"
description: "King Zhu: 3 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/king-zhu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/king-zhu/)

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# King Zhu

King Zhu has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Tianyu Zheng](https://md.research.elamur.ai/free/en/authors/tianyu-zheng/), [Yiming Liang](https://md.research.elamur.ai/free/en/authors/yiming-liang/), [Yizhi Li](https://md.research.elamur.ai/free/en/authors/yizhi-li/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5130384356) · [**h-index 0**](https://openalex.org/authors/A5130384356) · [2 works](https://openalex.org/works?filter=author.id:A5130384356) · [0 citations](https://openalex.org/works?filter=author.id:A5130384356&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/king-zhu/#papers) · [🔗 Cited 118 times in our library](https://md.research.elamur.ai/free/en/authors/king-zhu/cited-by/) · [⭐ Paper Stars ranking: #7437](https://md.research.elamur.ai/free/en/paper-stars/page/75/#star-7437)

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=King+Zhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=King+Zhu) · [dblp](https://dblp.org/search?q=King+Zhu) · [ACL Anthology](https://aclanthology.org/search/?q=King+Zhu)

## 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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/king-zhu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/king-zhu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines](https://md.research.elamur.ai/free/en/papers/team-2025-supergpqa-scaling-llm-evaluation-across/)** *(2025 · 89 citations)* Popular LLM benchmarks such as MMLU, GPQA and MMLU-Pro focus on a small set of mainstream subjects, and top models now score close to their ceiling on them.
2. **[MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale](https://md.research.elamur.ai/free/en/papers/guo-2025-mammoth-vl-eliciting-multimodal-reasoning/)** *(2025 · 40 citations)* Open-source multimodal LLMs tend to struggle with complex reasoning. A major reason is that their instruction-tuning data is mostly recycled from academic VQA-style sets such as VQA, AI2D, and ChartQA, which offer short answers and no step-by-step justification. The authors propose a low-cost pipeline built entirely…
3. **[MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-mmra-benchmark-evaluating-multi-granularity/)** *(2026)* Existing multimodal benchmarks mostly test facts within a single image. Earlier multi-image suites such as MuirBench and MIRB ask factual questions and do not probe the commonsense links between pictures or whether a model tracks their order. The authors introduce a multi-image relation association task and MMRA, a…

## Co-authors here

12 of 24 co-authors with a page, the most papers together first.

- [Tianyu Zheng](https://md.research.elamur.ai/free/en/authors/tianyu-zheng/) ×2
- [Yiming Liang](https://md.research.elamur.ai/free/en/authors/yiming-liang/) ×2
- [Yizhi Li](https://md.research.elamur.ai/free/en/authors/yizhi-li/) ×2
- [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/)
- [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/)
- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/)
- [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/)
- [Haoning Wu](https://md.research.elamur.ai/free/en/authors/haoning-wu/)
- [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/)
- [Kaijing Ma](https://md.research.elamur.ai/free/en/authors/kaijing-ma/)
- [Minghao Liu](https://md.research.elamur.ai/free/en/authors/minghao-liu/)
- [Ruibo Liu](https://md.research.elamur.ai/free/en/authors/ruibo-liu/)

## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [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/)

## Cited by

Papers of our library cite their works 118 times (of the 149,439 papers whose bibliographies we read); [59 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/king-zhu/cited-by/).

Updated 2 November 2026
