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Tianyu Zheng

Tianyu Zheng has 2 papers in our library, in 2023–2025, most of them on Reasoning, Vision & language, Language models & pretraining; often with Xiang Yue, Bo Li, Cong Wei.

2 papers in our library · 2023–2025

OpenAlex · h-index 5 · 35 works · 147 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 917 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #2389

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Electronic Science and Technology of ChinaChengdu · China2026 · 2 paperscurrent🎓Beijing University of Posts and TelecommunicationsBeijing · China2024 · 4 papers

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 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksVision & language · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI (2023 · 1,005 citations)
    Multimodal models score very well on everyday visual benchmarks such as VQA-v2 and RefCOCO, but these tests rarely require specialist knowledge.
  2. 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…

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  2. OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetTianyu Zheng et al.2024 · 129 citations
  3. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗arXiv:2409.02813 · no summary yetXiang Yue et al.2024 · 123 citations
  4. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines ↗arXiv:2502.14739 · no summary yetM-A-P Team et al.2025 · 89 citations
  5. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
  6. LoopCoder: Scaling Code Intelligence via Looped Language Models ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJian Yang et al.2026

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 917 times (of the 149,439 papers whose bibliographies we read); 216 citing papers with a page here →.

Updated

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