---
title: "Ge Zhang — papers"
description: "Ge Zhang: 7 papers in the Elamur Research library (2023–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/ge-zhang/"
---
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# Ge Zhang

7 papers on this site (2023–2024)

[OpenAlex](https://openalex.org/A5100326077) · [ORCID](https://orcid.org/0000-0003-0704-0657) · h-index 11 · 81 works · 552 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Long-context LLMs Struggle with Long In-context Learning](https://md.research.elamur.ai/free/en/papers/li-2024-long-context-llms-struggle-long/) — Tianle Li, Ge Zhang, Quy Duc Do, et al. · 2024
- [MAmmoTH2: Scaling Instructions from the Web](https://md.research.elamur.ai/free/en/papers/yue-2024-mammoth2-scaling-instructions-web/) — Xiang Yue, Tuney Zheng, Ge Zhang, et al. · 2024
- [MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wang-2024-mmlu-pro-more-robust-challenging/) — Yubo Wang, Xueguang Ma, Ge Zhang, et al. · 2024
- [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://md.research.elamur.ai/free/en/papers/deng-2024-musilingo-bridging-music-text-pre/) — Zihao Deng, Yinghao Ma, Yudong Liu, et al. · 2024
- [Yi: Open Foundation Models by 01.AI](https://md.research.elamur.ai/free/en/papers/ai-2024-yi-open-foundation-models-01/) — Alex Young, Bei Chen, Chao Li, et al. · 2024
- [MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/) — Xiang Yue, Xingwei Qu, Ge Zhang, et al. · 2023
- [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/) — Xiang Yue, Yuansheng Ni, Kai Zhang, et al. · 2023
