King Zhu

3 papers in our library · 2025–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines (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.
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale (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…
MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models (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…

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

Where their works here were published, the most works first, with the editions of those that have a page.

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 →.

Updated 2 November 2026