Elamur Research⌕
☰
home / authors / Hangyu Guo

Hangyu Guo

Hangyu Guo has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Chengyuan Yao, Jiaheng Liu, Ailin Huang.

5 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 8 · 37 works · 466 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 86 times in our library · ⭐ Paper Stars ranking: #8611

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

🎓Jilin UniversityChangchun · China2022–2026 · 5 paperscurrent🎓Shandong UniversityJinan · China2026 · 1 papercurrent🏢Alibaba GroupHangzhou · China2024–2025 · 4 papers🎓Central South UniversityChangsha · China2024–2025 · 4 papers🎓Harbin Institute of TechnologyHarbin · China2022–2025 · 3 papers🎓Renmin University of ChinaBeijing · China2023–2024 · 2 papers🎓Sichuan UniversityChengdu · China2022–2023 · 2 papers🔬State Key Laboratory of Polymer Materials EngineeringChengdu · China2022–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 5 worksArtificial Intelligence · 5 worksComputer Vision and Pattern Recognition · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksReasoning · 3 worksVision & language · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers20251 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models (2024 · 34 citations)
    Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each…
  2. OmniBench: Towards The Future of Universal Omni-Language Models (2024 · 17 citations)
    Most multimodal LLMs are built and tested on pairs of modalities (image–text or audio–text), so it is unclear how well they handle an image, an audio clip and a text instruction together.
  3. What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning (2025 · 13 citations)
    The paper asks which properties of visual instruction data actually help Multi-modal Large Language Models (MLLMs) generalize, since earlier collections had never been compared under the same backbone and training setup.
  4. STEP3-VL-10B Technical Report (2026 · 2 citations)
    Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning.
  5. PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering (2026)
    RLVR (reinforcement learning with verifiable rewards) relies on verifiers that usually check only whether a model's final answer matches the reference.

 Co-authors here

12 of 35 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 86 times (of the 149,439 papers whose bibliographies we read); 40 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hangyu-guo/